Project Goal: Leverage LLMs For Financial Analysis
Publications
-
Context-Aware Language Models for Forecasting Market Impact from
Sequences of Financial News
by Ross Koval, Nicholas Andrews, Xifeng
Yan
arXiv:2504.14787, 2025 [arxiv] -
Multimodal Language Models with Modality-Specific Experts for Financial
Forecasting from Interleaved Sequences of Text and Time Series
by
Ross Koval, Nicholas Andrews, Xifeng Yan
IJCNLP-AACL'25 (Proceedings of
International Joint Conference on Natural Language Processing)
[pdf] -
Financial Forecasting from Textual and Tabular Time Series
by Ross Koval, Nicholas Andrews, Xifeng Yan
EMNLP'24 (Proceedings of Findings of EMNLP 2024)
[pdf] -
Learning to Compare Financial Reports for Financial Forecasting
by
R. Koval, N. Andrews and X. Yan
EACL'24 (Findings
of the ACL, the 18th Conference of the European Chapter of the
Association for Computational Linguistics) [pdf] -
Forecasting Earnings Surprises from Conference Call Transcripts
by
R. Koval, N. Andrews and X. Yan
ACL'23 (Proc. of the Annual Meeting of the Association for Computational
Linguistics) [pdf] -
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer
on Time Series Forecasting,
by S. Li, X. Jin, Y. Xuan, X. Zhou, W. Chen, Y.-X. Wang, X. Yan
NeurIPS'19 (The Thirty-third Annual Conference on Neural Information Processing
Systems) [arxiv]