Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis

Yilin Wu, Han Yuan, Li Zhang, Zheng Ma


Anthology ID:
2025.finnlp-2.14
Volume:
Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing
Month:
November
Year:
2025
Address:
Suzhou, China
Editors:
Chung-Chi Chen, Genta Indra Winata, Stephen Rawls, Anirban Das, Hsin-Hsi Chen, Hiroya Takamura
Venue:
FinNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
210–220
Language:
URL:
https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.14/
DOI:
Bibkey:
Cite (ACL):
Yilin Wu, Han Yuan, Li Zhang, and Zheng Ma. 2025. Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 210–220, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
Natural Language Inference as a Judge: Detecting Factuality and Causality Issues in Language Model Self-Reasoning for Financial Analysis (Wu et al., FinNLP 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.14.pdf