Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts

Saisab Sadhu; Biswajit Patra; Tannay Basu

Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts

Saisab Sadhu, Biswajit Patra, Tannay Basu

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Anthology ID:: 2025.finnlp-2.21
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
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Publisher:: Association for Computational Linguistics
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Pages:: 283–291
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URL:: https://aclanthology.org/2025.finnlp-2.21/
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Cite (ACL):: Saisab Sadhu, Biswajit Patra, and Tannay Basu. 2025. Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 283–291, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts (Sadhu et al., FinNLP 2025)
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PDF:: https://aclanthology.org/2025.finnlp-2.21.pdf

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@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://aclanthology.org/2025.finnlp-2.21/",
    pages = "283--291"
}

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%0 Conference Proceedings
%T Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts
%A Sadhu, Saisab
%A Patra, Biswajit
%A Basu, Tannay
%Y Chen, Chung-Chi
%Y Winata, Genta Indra
%Y Rawls, Stephen
%Y Das, Anirban
%Y Chen, Hsin-Hsi
%Y Takamura, Hiroya
%S Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%F sadhu-etal-2025-structured
%U https://aclanthology.org/2025.finnlp-2.21/
%P 283-291

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Markdown (Informal)

[Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts](https://aclanthology.org/2025.finnlp-2.21/) (Sadhu et al., FinNLP 2025)

Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts (Sadhu et al., FinNLP 2025)

ACL

Saisab Sadhu, Biswajit Patra, and Tannay Basu. 2025. Structured Adversarial Synthesis: A Multi-Agent Framework for Generating Persuasive Financial Analysis from Earnings Call Transcripts. In Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing, pages 283–291, Suzhou, China. Association for Computational Linguistics.