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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…
cs.AI2025
Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis
Han Yuan, Li Zhang, Zheng Ma
Language models (LMs) have exhibited exceptional versatility in reasoning and in-depth financial analysis through their proprietary information processing capabilities. Previous re…