Suchetha Siddagangappa — accepted AI-conference papers

2025

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts

William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott +4

COLING 2025industry

Legal contracts in the custody and fund services domain govern critical aspects such as key provider responsibilities, fee schedules, and indemnification rights. However, it is challenging for an off-the-shelf Large Language Model (LLM) to ingest these contracts due to the lengthy unstructured strea…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2024

Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency

Toyin D. Aguda, Suchetha Siddagangappa, Elena Kochkina, Simerjot Kaur, Dongsheng Wang, Charese Smiley

COLING 2024main

Collecting labeled datasets in finance is challenging due to scarcity of domain experts and higher cost of employing them. While Large Language Models (LLMs) have demonstrated remarkable performance in data annotation tasks on general domain datasets, their effectiveness on domain specific datasets…

Cited by 20 Source ↗PDF ↗Scholar ↗