From Earnings Calls to Investment Reports: Evaluating Role-based Multi-Agent LLM Systems

Ranjan Satapathy, Raphael Liew, Joyjit Chattorj, Erik Cambria, Rick Goh


Anthology ID:
2025.finnlp-2.19
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:
258–267
Language:
URL:
https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.19/
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Bibkey:
Cite (ACL):
Ranjan Satapathy, Raphael Liew, Joyjit Chattorj, Erik Cambria, and Rick Goh. 2025. From Earnings Calls to Investment Reports: Evaluating Role-based Multi-Agent LLM Systems. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 258–267, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
From Earnings Calls to Investment Reports: Evaluating Role-based Multi-Agent LLM Systems (Satapathy et al., FinNLP 2025)
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PDF:
https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.19.pdf