@inproceedings{sadhu-etal-2025-structured,
title = "Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts",
author = "Sadhu, Saisab and
Patra, Biswajit and
Basu, Tannay",
editor = "Chen, Chung-Chi and
Winata, Genta Indra and
Rawls, Stephen and
Das, Anirban and
Chen, Hsin-Hsi and
Takamura, Hiroya",
booktitle = "Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.finnlp-2.21/",
doi = "10.18653/v1/2025.finnlp-2.21",
pages = "283--291"
}Markdown (Informal)
[Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts](https://preview.aclanthology.org/author-page-yu-wang-polytechnic/2025.finnlp-2.21/) (Sadhu et al., FinNLP 2025)
ACL