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A Citation-Grounded Benchmark for Trustworthy Earnings Call Transcript Analysis with Large Language Models

Zhao, Yingzhu et al.
arXiv (All) · Papers
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computation-and-language
Large language models (LLMs) have been increasingly used for financial document analysis, including earnings call transcripts (ECTs). Beyond generating standalone claims, users increasingly prefer grounded analyses that pair claims with verifiable citations from source documents to enable independen
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