3 papers
cs.CL2026
A Citation-Grounded Benchmark for Trustworthy Earnings Call Transcript Analysis with Large Language Models
Yingzhu Zhao, Vlad Pandelea, Han Yuan +4
Large language models (LLMs) have been increasingly used for financial document analysis, including earnings call transcripts (ECTs). Beyond generating standalone claims, users inc…
cs.CL2025
Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference
Han Yuan, Yue Zhao, Li Zhang +2
Structured output from large language models (LLMs) has enhanced efficiency in processing generated information and is increasingly adopted in industrial applications. Prior studie…
cs.CL2025
Extract, Match, and Score: An Evaluation Paradigm for Long Question-context-answer Triplets in Financial Analysis
Bo Hu, Han Yuan, Vlad Pandelea +3
The rapid advancement of large language models (LLMs) has sparked widespread adoption across diverse applications, making robust evaluation frameworks crucial for assessing their p…