most citedDianJin-R1: Evaluating and Enhancing Financial Reasoning in Large Language Models

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cs.CL2025

CARE: Cognitive-reasoning Augmented Reinforcement for Emotional Support Conversation

Jie Zhu, Yuanchen Zhou, Shuo Jiang +5

Emotional Support Conversation (ESC) plays a vital role in alleviating psychological stress and providing emotional value through dialogue. While recent studies have largely focuse…

cs.CL2025

Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models

Jie Zhu, Yuanchen Zhou, Shuo Jiang +4

Process Reward Models (PRMs) supervise intermediate reasoning steps in large language models (LLMs), but existing PRMs are mainly trained on general-domain data and struggle with t…

cs.CL2025

Evaluating, Synthesizing, and Enhancing for Customer Support Conversation

Jie Zhu, Huaixia Dou, Junhui Li +4

Effective customer support requires not only accurate problem solving but also structured and empathetic communication aligned with professional standards. However, existing dialog…

cs.CL2025

MFinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset

Jie Zhu, Junhui Li, Yalong Wen +3

Recent breakthroughs in large language models (LLMs) have led to the development of new benchmarks for evaluating their performance in the financial domain. However, current financ…

cs.CL2025

Speech Translation Refinement using Large Language Models

Huaixia Dou, Xinyu Tian, Xinglin Lyu +3

Recent advancements in large language models (LLMs) have demonstrated their remarkable capabilities across various language tasks. Inspired by the success of text-to-text translati…