Agentic LLMs for Analyst-Style Financial Insights: An LLM Pipeline for Persuasive Financial Analysis
Gaurangi Sinha, Rajarajeswari Palacharla, Manoj Balaji Jagadeeshan
- Anthology ID:
- 2025.finnlp-2.25
- 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:
- 322–327
- Language:
- URL:
- https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.25/
- DOI:
- Cite (ACL):
- Gaurangi Sinha, Rajarajeswari Palacharla, and Manoj Balaji Jagadeeshan. 2025. Agentic LLMs for Analyst-Style Financial Insights: An LLM Pipeline for Persuasive Financial Analysis. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 322–327, Suzhou, China. Association for Computational Linguistics.
- Cite (Informal):
- Agentic LLMs for Analyst-Style Financial Insights: An LLM Pipeline for Persuasive Financial Analysis (Sinha et al., FinNLP 2025)
- PDF:
- https://preview.aclanthology.org/ingest-emnlp/2025.finnlp-2.25.pdf