Refereed papers and book chapters

208. Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang, "Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies", to appear in Transactions of the Association for Computational Linguistics (TACL 2024), journal, 2024.

207. Antonis Antoniades, Yiyi Yu, Joe S Canzano, William Yang Wang, Spencer Smith, "Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data", to appear in Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 2024.

206. Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen, "DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text", to appear in Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 2024.

205. Edwin Zhang, Yujie Lu, Shinda Huang, William Yang Wang, Amy Zhang, "Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks", to appear in Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 2024.

204. Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan, "Guiding Instruction-based Image Editing via Multimodal Large Language Models", to appear in Proceedings of the Twelfth International Conference on Learning Representations (ICLR 2024), Spotlight paper, Vienna, Austria, 2024.

203. Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang, "VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View", to appear in Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, 2024.

202. Sudhanshu Srivastava, William Yang Wang, Miguel Eckstein, "Emergent human-like covert attention in feedforward convolutional neural networks", to appear in Current Biology, Volume 34, Issue 3, 5 February 2024, Pages 579-593.e12.

201. Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Eric Wang, Miguel Eckstein, William Yang Wang, "Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation", to appear in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, 2023.

200. Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Yang Wang, "EDIS: Entity-Driven Image Search over Multimodal Web Content", to appear in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, 2023.

199. Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang, "Text-guided 3D Human Generation from 2D Collections", to appear in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings), Singapore, 2023.

198. Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang, "Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning", to appear in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings), Singapore, 2023.

197. Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Yang Wang, Xiaodan Zhu, "Knowledge-Selective Pretraining for Attribute Value Extraction", to appear in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings), Singapore, 2023.

196. Alex Mei, Sharon Levy, William Yang Wang, "ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models", to appear in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings), Singapore, 2023.

195. Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang, "On the Risk of Misinformation Pollution with Large Language Models", to appear in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings), Singapore, 2023.

194. Deepak Nathani, David Wang, Liangming Pan, William Yang Wang, "MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models", to appear in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, 2023.

193. Zhiyu Chen, Yujie Lu, William Yang Wang, "Empowering Psychotherapy with Large Language Model: Cognitive Distortion Detection through Diagnosis of Thought Prompting", to appear in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings), Singapore, 2023.

192. Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li, "INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback", to appear in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, 2023.

191. Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, zhiheng huang, "Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks", to appear in Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings), Singapore, 2023.

190. Vaishnavi Himakunthala, Andy Ouyang, Daniel Philip Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang, "Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought", to appear in Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Singapore, 2023.

189. Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Xuehai He, S Basu, Xin Eric Wang, William Yang Wang, "LayoutGPT: Compositional Visual Planning and Generation with Large Language Models", to appear in Proceedings of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, 2023.

188. Alon Albalak, Colin Raffel, William Yang Wang, "Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data", to appear in Proceedings of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, 2023.

187. Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang, "Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning", to appear in Proceedings of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, 2023.

186. Yujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang, "LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation", to appear in Proceedings of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, 2023.

185. Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li, "ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers", to appear in Proceedings of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, 2023.

184. Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, Michael C. Yip, "Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning", to appear in Proceedings of Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, 2023.

183. Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi, "Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text", to appear in Proceedings of Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2023), New Orleans, LA, 2023.

182. Liangming Pan, Wenhu Chen, Min-Yen Kan and William Yang Wang, "Attacking Open-domain Question Answering by Injecting Misinformation", to appear in Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023), Bali, Indonesia, 2023, ACL.

181. Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, and William Yang Wang, "Retrieval Augmented Pretraining for Text Generation Evaluation", to appear in Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023, ACL.

180. Michael Saxon and William Yang Wang, "Multilingual Conceptual Coverage in Text-to-Image Models", to appear in Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023, ACL.

179. Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, and Preslav Nakov, "Fact-Checking Complex Claims with Program-Guided Reasoning", to appear in Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023, ACL.

178. Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor F. Pryor, Lise Getoor, and William Yang Wang, "CausalDialogue: Modeling Utterance-level Causality in Conversations", to appear in Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 Findings), Toronto, Canada, 2023, ACL.

177. Alex Mei, Sharon Levy, and William Yang Wang, "Foveate, Attribute, and Rationalize: Towards Safe and Trustworthy AI", to appear in Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 Findings), Toronto, Canada, 2023, ACL.

176. Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, zhiheng huang, Bing Xiang and Dan Roth, "RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering", to appear in Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 Findings), Toronto, Canada, 2023, ACL.

175. Manoj Ghuhan Arivazhagan, Lan Liu, Peng Qi, Xinchi Chen, William Yang Wang and zhiheng huang, "Hybrid Hierarchical Retrieval for Open-Domain Question Answering", to appear in Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 Findings), Toronto, Canada, 2023, ACL.

174. Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang and zhiheng huang, "Language Agnostic Multilingual Information Retrieval with Contrastive Learning", to appear in Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 Findings), Toronto, Canada, 2023, ACL.

173. Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth and Bing Xiang, "Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge", to appear in Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 Findings), Toronto, Canada, 2023, ACL.

172. Jifan Chen, Yuhao Zhang, Lan Liu, Rui Dong, Xinchi Chen, Patrick Ng, William Yang Wang and zhiheng huang, "Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations", to appear in Findings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 Findings), Toronto, Canada, 2023, ACL.

171. Sijia Wang, Alexander Hanbo Li, Henghui Zhu, Sheng Zhang, Pramuditha Perera, Chung-Wei Hang, Jie Ma, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang and Patrick Ng, "Benchmarking Diverse-Modal Entity Linking with Generative Models", to appear in Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023, ACL.

170. Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen McKeown, Vittorio Castelli, Dan Roth and Bing Xiang, "Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning", to appear in Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023, ACL.

169. An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian McAuley, "Learning Concise and Descriptive Attributes for Visual Recognition", to appear in International Conference on Computer Vision (ICCV 2023), Paris, France, Oct 2-6, 2023, CVF.

168. Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li, "ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval", to appear in Proceedings of Fortieth International Conference on Machine Learning (ICML 2023), Honolulu, Hawaii, July 23 - July 29, ICML.

167. Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang, "Offline Reinforcement Learning with Closed-Form Policy Improvement Operators", to appear in Proceedings of Fortieth International Conference on Machine Learning (ICML 2023), Honolulu, Hawaii, July 23 - July 29, ICML.

166. Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor, "NeuPSL: Neural Probabilistic Soft Logic", to appear in Proceedings of The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macau, China, Aug 19-25, IJCAI.

165. Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang, "WikiWhy: Answering and Explaining Cause-and-Effect Questions", to appear in Proceedings of Eleventh International Conference on Learning Representations (ICLR 2023), Oral Paper: Top 5% out of all 4019 submissions , Kigali, Rwanda, May 1st to 5th.

164. Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, William Yang Wang, "Neuro-Symbolic Procedural Planning with Commonsense Prompting", to appear in Proceedings of Eleventh International Conference on Learning Representations (ICLR 2023), Spotlight Paper, Kigali, Rwanda, May 1st to 5th.

163. Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang, "Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis", to appear in Proceedings of Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 1st to 5th.

162. Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang, "Causal Balancing for Domain Generalization", to appear in Proceedings of Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 1st to 5th.

161. Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang, "Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness", to appear in Proceedings of Eleventh International Conference on Learning Representations (ICLR 2023), Oral Paper: Top 5% out of all 4019 submissions , Kigali, Rwanda, May 1st to 5th.

160. Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, zhiheng huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth, "Street: a Multi-Task Structured Reasoning and Explanation benchmark", to appear in Proceedings of Eleventh International Conference on Learning Representations (ICLR 2023), Spotlight Paper, Kigali, Rwanda, May 1st to 5th.

159. Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang, "DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases", to appear in Proceedings of Eleventh International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 1st to 5th.

158. Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Eric Wang, Miguel Eckstein and William Yang Wang, "Visualize Before You Write: Imagination-Guided Open-Ended Text Generation", in Proceedings of The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), long paper, Dubrovnik, Croatia, May 2-6 2023, ACL.

157. Wanrong Zhu, Xin Eric Wang, An Yan, Miguel Eckstein and William Yang Wang, "ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation", in Proceedings of The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), long paper, Dubrovnik, Croatia, May 2-6 2023, ACL.

156. Michael S. Saxon, Xinyi Wang, Wenda Xu and William Yang Wang, "PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers", in Proceedings of The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), long paper, Dubrovnik, Croatia, May 2-6 2023, ACL.

155. Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang and Kathleen McKeown, "SWING: Mitigating Missing Information for Dialogue Summarization", in Proceedings of The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), long paper, Dubrovnik, Croatia, May 2-6 2023, ACL.

154. Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell, "Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation", in Proceedings of The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), long paper, Vancouver, Canada, June 18-22, 2023, IEEE/CVF.

153. Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu, "An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling", in Proceedings of The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), long paper, Vancouver, Canada, June 18-22, 2023, IEEE/CVF.

152. Alon Albalak, Sharon Levy and William Yang Wang, "Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains", in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), demo track, Dubrovnik, Croatia, May 2-6 2023, ACL.

151. Daniel Xiaodan Zhou, Lan Liu, William Yang Wang, Zhiheng Huang, Anmol Anubhai, Maansi Shandilya and Steph Sigalas, "Beyond Accurate Answers: Evaluating Open-Domain Question Answering in Enterprise Search", to appear in Proceedings of the 2023 ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2023), Short paper, Austin, Texas, USA March 19-23, ACM.

150. Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara and William Yang Wang, "FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue", to appear in Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), full paper, Abu Dhabi, UAE, 2022.

149. Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael S. Saxon, Lei Li and William Yang Wang, "Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis", to appear in Findings of The 2022 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2022), full paper, Abu Dhabi, UAE, 2022.

148. Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad and William Yang Wang, "Bridging the Training-Inference Gap for Dense Phrase Retrieval", to appear in Findings of The 2022 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2022), full paper, Abu Dhabi, UAE, 2022.

147. Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia Chilton, Desmond Patton, Kathleen McKeown and William Yang Wang, "SafeText: A Benchmark for Exploring Physical Safety in Language Models", to appear in Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), full paper, Abu Dhabi, UAE, 2022.

146. Weixi Feng, Tsu-Jui Fu, Yujie Lu and William Yang Wang, "ULN: Towards Underspecified Vision-and-Language Navigation", to appear in Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), full paper, Abu Dhabi, UAE, 2022.

145. Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah and William Yang Wang, "ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering", to appear in Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), full paper, Abu Dhabi, UAE, 2022.

144. Alex Mei, Anisha Kabir, Sharon Levy, Melanie Subbiah, Emily Allaway, John N. Judge, Desmond Patton, Bruce Bimber, Kathleen McKeown and William Yang Wang, "Mitigating Covertly Unsafe Text within Natural Language Systems", to appear in Findings of The 2022 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2022), full paper, Abu Dhabi, UAE, 2022.

143.Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang and Xin Eric Wang, "CPL: Counterfactual Prompt Learning for Vision and Language Models", to appear in Proceedings of The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), full paper, Abu Dhabi, UAE, 2022.

142. Tsu-Jui Fu, Xin Eric Wang, William Yang Wang, "Language-Driven Artistic Style Transfer", to appear in Proceedings of European Conference on Computer Vision 2022 (ECCV 2022), full paper, Tel Aviv, Israel, Oct 23-27, 2022.

141. Yujie Lu , Wanrong Zhu, Xin Eric Wang, Miguel Eckstein, William Yang Wang, "Imagination-Augmented Natural Language Understanding", to appear in Proceedings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), long paper, Seattle, WA, July 10-15, 2022, USA.

140. Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang, "Diagnosing Vision-and-Language Navigation: What Really Matters", to appear in Proceedings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2022), long paper, Seattle, WA, July 10-15, 2022, USA.

139. Zhiyu Chen, Bing Liu, Seungwhan Moon, Chinnadhurai Sankar, Paul A. Crook, William Yang Wang, "KETOD: Knowledge-Enriched Task-Oriented Dialogue", to appear in Findings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL 2022), long paper, Seattle, WA, July 10-15, 2022, USA.

138. Tsu-Jui Fu, Xin Eric Wang, Scott Grafton, Miguel Eckstein, William Yang Wang, "M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers", to appear in Proceedings of Thirty-Third IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), long paper, New Orleans, LA, USA.

137. Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang, "HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data", to appear in Findings of 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), long paper, Dublin, Ireland.

136. Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang, "Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems", to appear in Findings of 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), long paper, Dublin, Ireland.

135. Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang, "Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer", to appear in Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), long paper, Vancouver, BC, Canada.

134. Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song, "DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents", to appear in Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), long paper, Vancouver, BC, Canada.

133. Samhita Honnavalli, Aesha Parekh, Lily Ou, Sophie Groenwold, Sharon Levy, Vicente Ordonez and William Yang Wang, "Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation", to appear in Proceedings of The 2022 International Conference on Language Resources and Evaluation (LREC 2022), Oral paper, Marseille, France, June 20-25,2022.

132. Alex Mei, Anisha Kabir, Rukmini Bapat, John N. Judge, Tony Sun and William Yang Wang, "Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization", to appear in Proceedings of The 2022 International Conference on Language Resources and Evaluation (LREC 2022), Oral paper, Marseille, France, June 20-25,2022.

131. Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang, "Counterfactual Maximum Likelihood Estimation for Training Deep Networks", to appear in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), long paper, online.

130. Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang, "Local Explanation of Dialogue Response Generation", to appear in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), long paper, online.

129. Wenhu Chen, Xinyi Wang, William Yang Wang, "A Dataset for Answering Time-Sensitive Questions", to appear in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2021), long paper, online.

128. Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu, "VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation", to appear in Proceedings of Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS 2021), long paper, online.

127. Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan R. Routledge, William Yang Wang, "FinQA: A Dataset of Numerical Reasoning over Financial Data", to appear in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), long paper, online, ACL.

126.Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak and William Yang Wang, "Modeling Disclosive Transparency in NLP Application Descriptions", to appear in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), long paper, online, ACL.

125. Alexander Jones, William Yang Wang and Kyle Mahowald, "A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space", to appear in Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), long paper, online, ACL.

124. Sharon Levy, Kevin Mo, Wenhan Xiong and William Yang Wang, "Open-Domain Question-Answering for COVID-19 and Other Emergent Domains", to appear Proceedings of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), demos track, online, ACL.

123. Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Yang Wang, "Zero-Shot Fact Verification by Claim Generation", to appear in Proceedings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), short paper, online, ACL.

122. Qingfu Zhu, Wei-Nan Zhang, Ting Liu and William Yang Wang, "Neural Stylistic Response Generation with Disentangled Latent Variables", to appear in Proceedings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), long paper, online, ACL.

121. Sharon Levy, Michael Saxon and William Yang Wang, "Investigating Memorization of Conspiracy Theories in Text Generation", to appear in Findings of The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Findings of ACL-IJCNLP 2021), long paper, online, ACL.

120. Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Yang Wang, "Unsupervised Multi-hop Question Answering by Question Generation'', to appear in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2021), long paper, ACL.

119. Tsu-Jui Fu and William Yang Wang, "Semi-Supervised Policy Initialization for Playing Games with Language Hints'', to appear in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2021), short paper, ACL.

118. Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William Cohen, "Open Question Answering over Tables and Text'', to appear in Proceedings of the International Conference on Learning Representations (ICLR 2021), full paper, ICLR.

117. Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz, "Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval'', to appear in Proceedings of the International Conference on Learning Representations (ICLR 2021), full paper, ICLR.

116. Wenhan Xiong, Hong Wang and William Yang Wang, "Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering'', to appear in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), long paper, ACL.

115. Yijun Xiao and William Yang Wang, "On Hallucination and Predictive Uncertainty in Conditional Language Generation'', to appear in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), long paper, ACL.

114. An Yan, Xin Wang, Tsu-Jui Fu and William Yang Wang, "L2C: Describing Visual Differences Needs Semantic Understanding of Individuals'', to appear in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), short paper, ACL.

113. Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu and William Yang Wang, "Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation'', to appear in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), long paper, ACL.

112. Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin and William Yang Wang, "HULK: An Energy Efficiency Benchmark Platform forResponsible Natural Language Processing'', to appear in Proceedings of the 2021 Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021), demo paper, ACL.

111. Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu, "Meta Module Network for Compositional Visual Reasoning", to appear in Proceedings of Winter Conference on Applications of Computer Vision (WACV 2021), oral paper, IEEE/CVF. Best Student Paper Award Honorable Mention

110. Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza and William Yang Wang, "Investigating African-American Vernacular English in Transformer-Based Text Generation", to appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Short Paper, ACL.

109. Wenhu Chen, Yu Su, Xifeng Yan and William Yang Wang, "KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation", to appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Long Paper, ACL.

108. Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang, "Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations", to appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Short Paper, ACL.

107. Tsu-Jui Fu, Xin Wang, Scott Grafton, Miguel Eckstein, William Yang Wang, "Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning", to appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Long Paper, ACL.

106. Qingfu Zhu, Wei-Nan Zhang, Ting Liu and William Yang Wang, "Counterfactual Off-Policy Training for Neural Dialogue Generation", to appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Long Paper, ACL.

105. Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang, "Logic2Text: High-Fidelity Natural Language Generation from Logical Forms", to appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Findings of EMNLP, ACL.

104. Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Wang, "HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data", to appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Findings of EMNLP, ACL.

103. Jiannan Xiang, Xin Wang and William Yang Wang, "Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation", to appear in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Findings of EMNLP, ACL.

102. Tsu-Jui Fu, Xin Wang, Matthew F Peterson, Scott T. Grafton, Miguel Eckstein, William Yang Wang, "Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler", to appear in Proceedings of the 16th European Conference on Computer Vision (ECCV 2020), Spotlight Paper: Top 5% out of 5025 submissions , Springer.

101. Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi, "Environment-agnostic Multitask Learning for Natural Language Grounded Navigation", to appear in Proceedings of the 16th European Conference on Computer Vision (ECCV 2020), full paper, Springer.

100. Sharon Levy, Wenhan Xiong, Elizabeth Belding, and William Yang Wang, "SafeRoute: Learning to Navigate Streets Safely in an Urban Environment", to appear in ACM Transactions on Intelligent Systems and Technology (ACM TIST), journal paper, ACM, 2020.

99. Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen and William Yang Wang, "Logical Natural Language Generation from Open-Domain Tables", to appear in Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), full paper, ACL.

98. Chen Wu, Prince Zizhuang Wang and William Yang Wang, "On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond", to appear in Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), full paper, ACL.

97. Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang and William Yang Wang, "Towards Understanding Gender Bias in Relation Extraction", to appear in Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), full paper, ACL.

96. Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu and William Yang Wang, "Few-Shot NLG with Pre-Trained Language Model", to appear in Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), short paper, ACL.

95. Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang, "Vision-Language Navigation Policy Learning and Adaptation", accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Computer Science Society. Journal Version of the CVPR 2019 Best Student Paper.

94. Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov, "Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model", to appear in Proceedings of the International Conference on Learning Representations (ICLR 2020), full paper, Addis Ababa, Ethiopia, Apr. 30, ICLR. PDF

93. Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang, "TabFact: A Large-scale Dataset for Table-based Fact Verification", to appear in Proceedings of the International Conference on Learning Representations (ICLR 2020), full paper, Addis Ababa, Eth iopia, Apr. 30, ICLR. PDF

92. Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel, "REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments", to appear in Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), full paper, Seattle, WA, June 14-19, IEEE/CVF. PDF

91. Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang, "Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation", to appear in Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), full paper, Seattle, WA, June 14-19, IEEE/CVF. PDF

90. Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, and William Yang Wang, "Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs", to appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), full oral paper, New York, New York, AAAI. PDF

89. Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, and William Yang Wang, "Multi-Task Self-Supervised Learning for Disfluency Detection", to appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), full oral paper, New York, New York, AAAI. PDF

88. Wenqiao Zhang, Xin Wang, Siliang Tang, Haochen Shi, Jun Xiao, Haizhou Shi, Yueting Zhuang, William Yang Wang, "Relational Graph Learning for Grounded Video Description Generation", to appear in Proceedings of the 28th ACM International Conference on Multimedia (ACM MM 2020), full paper, Seattle, WA. Oct. 12-16, 2020, ACM.

87. Kai Nakamura, Sharon Levy and William Yang Wang, "Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection", to appear in Proceedings of 12th International Conference on Language Resources and Evaluation (LREC 2020), full paper, Marseille, France, May 11-16, 2020, ELRA. PDF

86. Ray Oshikawa, Jing Qian and William Yang Wang, "A Survey on Natural Language Processing for Fake News Detection", to appear in Proceedings of 12th International Conference on Language Resources and Evaluation (LREC 2020), full paper, Marseille, France, May 11-16, 2020, ELRA. PDF

85. Haoyu Wang, Vivek Kulkarni and William Yang Wang, "DOLORES: Deep Contextualized Knowledge Graph Embeddings", to appear in Proceedings of the 2nd Conference on Automated Knowledge Base Construction (AKBC 2020), full paper, virtual conference.

84. Prince Zizhuang Wang and William Yang Wang, "Neural Gaussian Copula for Variational Autoencoder", to appear in Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), full paper, Hong Kong, Nov. 3-7, ACL. PDF BIB

83. Siyao Li, Deren Lei, Pengda Qin and William Yang Wang, "Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization", to appear in Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), short paper, Hong Kong, Nov. 3-7, ACL. PDF BIB

82. Jiawei Wu, Wenhan Xiong and William Yang Wang, "Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification", to appear in Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), full paper, Hong Kong, Nov. 3-7, ACL. PDF BIB

82. Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding and William Yang Wang, "A Benchmark Dataset for Learning to Intervene in Online Hate Speech", to appear in Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019), full paper, Hong Kong, Nov. 3-7, ACL. PDF BIB

80. Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, and William Yang Wang, "VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research", to appear in Proceedings of the 17th CVF/IEEE International Conference on Computer Vision (ICCV 2019), full oral paper, Seoul, Korea, Oct. 27 - Nov. 2, CVF/IEEE. PDF BIB WEBSITE

79. Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan and William Yang Wang, "Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention", to appear in Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), full paper, Florence, Italy, July 28th - August 2nd, ACL. PDF BIB

78. Jiawei Wu, Xin Wang and William Yang Wang, "Self-Supervised Dialogue Learning", to appear in Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), full paper, Florence, Italy, July 28th - August 2nd, ACL. PDF BIB

77. Pushkar shukla, Carlos Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk and William Yang Wang, "What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog", to appear in Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), full paper, Florence, Italy, July 28th - August 2nd, ACL. PDF BIB

76. Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang, ``Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader", Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), full paper, Florence, Italy, July 28th - August 2nd, ACL. PDF BIB

75. Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Yang Wang, "TWEETQA: A Social Media Focused Question Answering Dataset", to appear in Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), full paper, Florence, Italy, July 28th - August 2nd, ACL. PDF BIB

74. Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang and William Yang Wang, "Self-Supervised Learning for Contextualized Extractive Summarization", to appear in Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), full paper, Florence, Italy, July 28th - August 2nd, ACL. PDF BIB

73. Hui Liu, Qingyu Yin and William Yang Wang, "Towards Explainable NLP: A Generative Explanation Framework for Text Classification", to appear in Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), full paper, Florence, Italy, July 28th - August 2nd, ACL. PDF BIB

72. Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Kai-Wei Chang and William Yang Wang, "Mitigating Gender Bias in Natural Language Processing: Literature Review", to appear in Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), full paper, Florence, Italy, July 28th - August 2nd, ACL. PDF BIB

71. Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang, ``Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation'', to appear in Proceedings of the 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), full paper, Long Beach, CA, USA, June 16-20, CVF/IEEE. PDF BIB Best Student Paper Award: 1/5160=0.02%

70. Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, and William Yang Wang, "Sentence Embedding Alignment for Lifelong Relation Extraction", to appear in Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), long paper, Minneapolis, MN, USA, June 3-5, ACL. PDF BIB

69. Prince Zizhuang Wang and William Yang Wang, "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling", to appear in Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), long oral paper, Minneapolis, MN, USA, June 3-5, ACL. PDF BIB

68. Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, and William Yang Wang, "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing", to appear in Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), long paper, Minneapolis, MN, USA, June 3-5, ACL. PDF BIB

67. Jiawei Wu, Xin Wang and William Yang Wang, "Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation", to appear in Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), long oral paper, Minneapolis, MN, USA, June 3-5, ACL. PDF BIB

66. Jing Qian, Mai ElSherief, Elizabeth Belding and William Yang Wang, "Learning to Decipher Hate Symbols", to appear in Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), long oral paper, Minneapolis, MN, USA, June 3-5, ACL. PDF BIB

65. Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, and William Yang Wang, "How Large A Vocabulary Does Text Classification Need? A Variational Approach on Vocabulary Selection", to appear in Proceedings of the 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), long oral paper, Minneapolis, MN, USA, June 3-5, ACL. PDF BIB

64. Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang, "Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning", to appear in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), long oral paper, Honolulu, HI, USA, Jan 27 - Feb 1, 2019, AAAI. (Oral paper acceptance rate: ~8%) PDF BIB

63. Yijun Xiao and William Yang Wang, "Quantifying Uncertainties in Natural Language Processing Tasks", to appear in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), long paper, Honolulu, HI, USA, Jan 27 - Feb 1, 2019, AAAI. PDF BIB

62. Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang, "One-Shot Relational Learning for Knowledge Graphs", to appear in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), long paper, Brussels, Belgium, Oct 31-Nov 4, ACL. PDF BIB CODE

61. Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan and William Yang Wang, "XL-NBT: A Cross-lingual Neural Belief Tracking Framework", to appear in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), long paper, Brussels, Belgium, Oct 31-Nov 4, ACL. PDF BIB CODE

60. Jing Qian, Mai ElSherief, Elizabeth Belding and William Yang Wang, "Hierarchical CVAE for Fine-Grained Hate Speech Classification", to appear in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), long paper, Brussels, Belgium, Oct 31-Nov 4, ACL. PDF BIB

59. Vivek Kulkarni, Junting Ye, Steve Skiena and William Yang Wang, "Multi-view Models for Political Ideology Detection of News Articles", to appear in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), long paper, Brussels, Belgium, Oct 31-Nov 4, ACL. PDF BIB

58. Shuqing Bian, Zhenpeng Deng, Fei Li, Will Monroe, Peng Shi, Zijun Sun, Wei Wu, Sikuang Wang, William Yang Wang, Arianna Yuan, Tianwei Zhang, and Jiwei Li, "IcoRating: A Deep-Learning System for Scam ICO Identification", preprint arxiv PDF

57. Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang, "Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation", to appear in Proceedings of the European Conference on Computer Vision (ECCV 2018), preprint arxiv PDF BIB

56. Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, and William Yang Wang, "Zero Pronoun Resolution with Attention-based Neural Network", in Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018), preprint arxiv PDF BIB

55. Pengda Qin, Weiran Xu, and William Yang Wang, "DSGAN: Generative Adversarial Training for Robust Distant Supervision Relation Extraction", in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), full paper, Melbourne, Australia, July 15-20, 2018, ACL. Preprint arxiv PDF BIB

54. Qingyu Yin, Yu Zhang, Wei-Nan Zhang, Ting Liu, and William Yang Wang, "Deep Reinforcement Learning for Chinese Zero Pronoun Resolution", in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), full paper, Melbourne, Australia, July 15-20, 2018, ACL. Preprint arxiv PDF BIB CODE

53. Xin Wang, Wenhu Chen, Yuan-Fang Wang, and William Yang Wang, "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling", in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), full paper, Melbourne, Australia, July 15-20, 2018, ACL. Preprint arxiv PDF BIB

52. Pengda Qin, Weiran Xu, and William Yang Wang, "Robust Distant Supervision via Deep Reinforcement Learning", in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), full paper, Melbourne, Australia, July 15-20, 2018, ACL. Preprint arxiv PDF BIB

51. Xianda Zhou and William Yang Wang, "MOJITALK: Generating Emotional Responses at Scale", in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), full paper, Melbourne, Australia, July 15-20, 2018, ACL. Preprint arxiv PDF BIB CODE and DATA

50. Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, and William Yang Wang, "Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents", in Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), full oral paper, Stockholm, Sweden, July 13-19, 2018, IJCAI. Preprint arxiv PDF BIB CODE

49. Mai Elsherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, and Elizabeth Belding, "Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media", in Proceedings of the International AAAI Conference on Web and Social Media (ICWSM 2018), full paper, Stanford, CA, USA, June 25-28, 2018, AAAI. PDF BIB

48. Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, and William Yang Wang, "Video Captioning via Hierarchical Reinforcement Learning", in Proceedings of the Thirtieth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018), full paper, Salt Lake City, Utah, USA, June 18 - June 22, 2018, IEEE/CVF. PDF DATA BIB

47. Xin Wang, Yuan-Fang Wang, and William Yang Wang, "Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning", in Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), short paper, New Orleans, LA, USA, June 1 - June 6, 2018, ACL. PDF BIB

46. Jing Qian, Mai ElSherief, Elizabeth Belding, and William Yang Wang, "Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection", in Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), short paper, New Orleans, LA, USA, June 1 - June 6, 2018, ACL. PDF BIB

45. Wenhu Chen, Wenhan Xiong, Xifeng Yan and William Yang Wang, "Variational Knowledge Graph Reasoning", in Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), long oral paper, New Orleans, LA, USA, June 1 - June 6, 2018, ACL. Preprint arxiv PDF BIB

44. Jiawei Wu, Lei Li, and William Yang Wang, "Reinforced Co-Training", in Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), long paper, New Orleans, LA, USA, June 1 - June 6, 2018, ACL. PDF BIB

43. Vivek Kulkarni and William Yang Wang, "Simple Models for Word Formation in Slang", in Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), long paper, New Orleans, LA, USA, June 1 - June 6, 2018, ACL. PDF BIB CODE

42. Liwei Cai and William Yang Wang, "KBGAN: Adversarial Learning for Knowledge Graph Embeddings", in Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2018), long oral paper, New Orleans, LA, USA, June 1 - June 6, 2018, ACL. Preprint arxiv PDF CODE BIB

41. Ke Ni and William Yang Wang, "Learning to Explain Non-Standard English Words and Phrases", in Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017), short paper, Taipei, Taiwan, Nov.27-Dec.1, AFNLP. (Oral short paper acceptance rate: 8.6%) PDF BIB DATA

40. Wenhan Xiong, Thien Hoang, and William Yang Wang, "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning", in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), long oral paper, Copenhagen, Denmark, Sept. 7-11, ACL. (Oral paper acceptance rate: 7.5%) PDF CODE NELL-995 DATASET BIB

39. YiYao Huang and William Yang Wang, "Deep Residual Learning for Weakly-Supervised Relation Extraction", in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), short paper, Copenhagen, Denmark, Sept. 7-11, ACL. (Short paper acceptance rate: 18.4%) PDF BIB CODE

38. William Yang Wang, "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection, to appear in Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL 2017), short paper, Vancouver, BC, Canada, July 30-August 4, ACL. (Short paper acceptance rate: 18.9%) DATA PDF BIB

37. William Yang Wang and William W Cohen, "Learning First-Order Logic Embeddings via Matrix Factorization", in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), long paper, New York, NY, U.S.A., July 9-15th, AAAI. PDF BIB

36. William Yang Wang, Yashar Mehdad, Drago Radev, and Amanda Stent, "A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization", in Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT 2016), long paper, San Diego, CA, U.S.A., June 13-15, ACL. PDF BIB

35. William Yang Wang and Diyi Yang, "That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets", in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), short paper, Lisbon, Portugal, Sept. 17-21, ACL. PDF BIB DATA (EMNLP 2015 Notable Data Set Award: 2/1300, 0.2%)

34. William Yang Wang, Kathryn Mazaitis, and William W. Cohen, "A Soft Version of Predicate Invention Based on Structured Sparsity", in Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), full paper for oral presentation, Buenos Aires, Argentina, July 25-31, IJCAI. Preprint version: PDF BIB DATA

33. William Yang Wang and William W. Cohen, "Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach", in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2015), long paper for oral presentation, Beijing, China, July 26-31, ACL. PDF BIB DATA

32. Yun-Nung Chen, William Yang Wang, Anatole Gershman and Alexander Rudnicky, "Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding", in Proceedings of the 53rd Annual Meeting of th e Association for Computational Linguistics and The 7th International Joint Conference of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2015), long paper for oral presentation, Beijing, China, July 26-31, ACL. PDF BIB

31. William Yang Wang, Kathryn Mazaitis, Ni Lao, and William W. Cohen, "Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic", in Machine Learning Journal (MLJ 2015), Springer. Preprint version: PDF BIB CODE

30. William Yang Wang and Miaomiao Wen, "I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions", in Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), long paper, Denver, CO., USA, May 31-June 5, ACL. Preprint version: PDF BIB DATA Covered by Mental Floss

29. Yun-Nung Chen, William Yang Wang, and Alex Rudnicky, "Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding", in Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), long paper, Denver, CO., USA, May 31-June 5, ACL. Preprint version: PDF BIB

28. Yun-Nung Chen, William Yang Wang, and Alex Rudnicky, "Learning Semantic Hierarchy with Distributed Representations for Unsupervised Spoken Language Understanding", to appear in Proceedings of the 16th Annual Conference of the International Speech Communication Association (INTERSPEECH 2015), Dresden, Germany, Sept. 6-10, ISCA. Preprint version: PDF BIB

27. William Yang Wang, Kathryn Mazaitis, and William W. Cohen, "Structure Learning via Parameter Learning", in Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014), full oral paper, Shanghai, China, Nov. 3-7th, ACM. Preprint version: PDF BIB

26. William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, and William W. Cohen, "Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach", in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), short paper, Doha, Qatar, Oct. 25-29, 2014, ACL. Preprint version: PDF BIB DATA

25. William Yang Wang, and Zhenhao Hua, "A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls", in Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), long paper, Baltimore, MD, June 22-27, ACL. Preprint version: PDF BIB DATASETS

24. William Yang Wang, Kathryn Mazaitis, William W. Cohen, "ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference", in Proceedings of the AAAI 2014 Workshop on Statistical Relational AI (StarAI 2014), position paper, Quebec City, Quebec, Canada, July 27th, 2014, AAAI. Preprint version: PDF BIB CODE

23. Yun-Nung Chen, William Yang Wang, and Alex Rudnicky, "Leveraging Frame Semantics and Distributional Semantics for Unsupervised Semantic Slot Induction for Spoken Dialogue Systems", to appear in Proceedings of the IEEE SLT 2014. An abstract was presented at ACL 2014 Workshop on Semantic Parsing (SP 2014), extended abstract, Baltimore, MD, June 26, ACL. Preprint version: PDF BIB

22. William Yang Wang, Kathryn Mazaitis, William W. Cohen, "Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic", in Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013), full oral paper, Burlingame, CA, USA, Oct. 27th - Nov. 1st, ACM. (Long paper acceptance rate: 16.9%) (CIKM 2013 Best Paper Honorable Mention Award: 3/848, 0.3%)
Preprint version: PDF BIB CODE SLIDES (An extended abstract was presented at ICML 2013 workshop on Inferning: Interactions between Inference and Learning. VIDEO)

21. William Yang Wang, Ed Lin, John Kominek, "This Text has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics", to appear in Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), full paper, Seattle, WA, USA, Oct. 18-21, ACL. PDF BIB dataset

20. Di Wang, Chenyan Xiong, William Yang Wang, "Automatic Domain Partitioning for Multi-Domain Learning", to appear in Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013), short paper, Seattle, WA, USA, Oct. 18-21, ACL. PDF BIB

19. Yun-Nung Chen, William Yang Wang, and Alex Rudnicky, "Unsupervised Induction and Filling of Semantic Slots for Spoken Dialogue Systems using Frame-Semantic Parsing", to appear in Proceedings of the IEEE ASRU 2013, Olomouc, Czech Republic, Dec. 8-12, 2013, IEEE.
(ASRU 2013 Best Student Paper Award: 1/~170, 0.6%) PDF BIB

18. Yun-Nung Chen, William Yang Wang, and Alex Rudnicky, "An Empirical Investigation of Sparse Log-Linear Models for Improved Dialogue Act Classification", to in Proceedings of 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, May 26-31, IEEE. Preprint version: PDF BIB

17. William Yang Wang, Dan Bohus, Ece Kamar, and Eric Horvitz, "Crowdsourcing the Acquisition of Natural Language Corpora: Methods and Observations", in IEEE SLT 2012, Miami, Florida, Dec 2-5, IEEE. Preprint version: PDF BIB

16. William Yang Wang, Elijah Mayfield, Suresh Naidu, and Jeremiah Dittmar, "Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model", in Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL 2012), full oral paper, Jeju Island, Korea, July 8-14, ACL. (Oral long paper acceptance rate: 14%) Preprint version: PDF BIB

15. William Yang Wang, Samantha Finkelstein, Amy Ogan, Alan W Black and Justine Cassell, "'Love ya, jerkface': using Sparse Log-Linear Models to Build Positive (and Impolite) Relationships with Teens", in Proceedings of the 13th annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2012), full oral paper, Seoul, Korea, July 5-6, ACL. Preprint version: PDF BIB VIDEO

14. William Yang Wang, Fadi Biadsy, Andrew Rosenberg, Julia Hirschberg, "Automatic Detection of Speaker State: Lexical, Prosodic, and Phonetic Approaches to Level-of-Interest and Intoxication Classification", in the Computer Speech and Language journal, 2012. Preprint version: PDF BIB

13. William Yang Wang and Kallirroi Georgila, "Automatic Detection of Unnatural Word-Level Segments in Unit-Selection Speech Synthesis", in Proceedings of the IEEE ASRU 2011, Hawaii, USA, Dec. 11-15, 2011. Preprint version: PDF BIB

12. William Yang Wang, Kapil Thadani, and Kathleen R. McKeown, "Identifying Event Descriptions using Co-training with Online News Summaries", in Proceedings of the 5th International Joint Conference on Natural Language Processing (IJCNLP 2011), full oral paper, Chiang Mai, Thailand, Nov. 8-13, ACL-AFNLP.Preprint version: PDF BIB [the CSC Corpus]

11. William Yang Wang, Ron Artstin, Anton Leuski, and David Traum, "Improving Spoken Dialogue Understanding Using Phonetic Mixture Models", in Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches, IGI Global. (This is an invited book chapter based on the FLAIRS 2011 paper.)

10. Fadi Biadsy, William Yang Wang, Andrew Rosenberg, Julia Hirschberg, "Intoxication Detection using Phonetic, Phonotactic and Prosodic Cues", in Proceedings of the 12th Annual Conference of the International Speech Communication Association (INTERSPEECH 2011), oral paper, Florence, Italy 28-31 Aug., 2011. Preprint version: PDF BIB

9. William Yang Wang and Julia Hirschberg, "Detecting Levels of Interest from Spoken Dialog with Multistream Prediction Feedback and Similarity Based Hierarchical Fusion Learning", in Proceedings of the 12th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2011), oral paper, Portland, Oregon, USA 17-18 June 2011. Preprint version: PDF BIB

8. William Yang Wang, Ron Artstein, Anton Leuski, and David Traum, "Improving Spoken Dialogue Understanding Using Phonetic Mixture Models", in Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference (FLAIRS-24), Palm Beach, Florida, USA 18-20 May 2011. AAAI Press. Preprint version: PDF BIB (FLAIRS 2011 Best Paper Finalist: 6/179, 3%)

7. William Yang Wang, Kathleen McKeown, "Got You!: Automatic Vandalism Detection in Wikipedia with Web-based Syntactic-Semantic Modeling", in Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), Beijing, China 23-27 Aug. 2010 PDF BIB (Oral Paper Acceptance Rate: 19%)

6. William Yang Wang, Lan Wang, Chongguo Li and Yajuan Huang, "Using Extended Letter-to-sound Rules to Detect Pronunciation Errors Made by Chinese Learner of English", in Proceedings of The 2010 International Conference on Computational Intelligence and Software Engineering (CiSE 2010) PDF BIB (Note: This is an extended version of 2009 CAS Technical Report. )

5. Jinyu Chen, Lan Wang, Chongguo Li, Jin Hu, Sheng Li, Xuesong Yang, William Yang Wang, Yajuan Huang, Xin Kang,"IELS: A Computer Assisted Pronunciation Training System for Undergraduate Students", IEEE ICETC 2010, International Conference on Education Technology and Computer, June 22-24, 2010, Shanghai, China.

Workshop papers and reports

4. William Yang Wang, "Position Paper", to appear in Proceedings of the 8th Young Researchers' Roundtable on Spoken Dialog Systems (YRRSDS 2012), July 3-4, Seoul, Korea.

3. Yun-Nung Vivian Chen, Ting-Hao Kenneth Huang, William Yang Wang, "Recurrent Neural Network and High-Order N-Gram Models for POS Prediction", CMU Language and Statistics technical report, 2012. PDF

2. William Yang Wang, "Position Paper", in Proceedings of the 7th Young Researchers' Roundtable on Spoken Dialog Systems (YRRSDS 2011), June 15-16, Portland, Oregon, USA.

1. William Yang Wang, Lan Wang, Chongguo Li, Yajuan Huang, "Using Extended Letter-to-sound Rules to Detect Pronunciation Errors Made by Chinese Learner of English", Technical Report of AIMSL, SIAT, Chinese Academy of Sciences, 2009