@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/ingest-emnlp/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/ingest-emnlp/2025.finnlp-2.21/) (Sadhu et al., FinNLP 2025)
ACL