4 citations · 4 across the 4 of their papers we have counts for
4 papers
Reconciling Contradictory Views on the Effectiveness of SFT in LLMs: An Interaction Perspective
Junpeng Zhang, Lei Cheng, Guoxi Zhang +3
This paper explores a scientific question in supervised fine-tuning (SFT): why SFT is broadly effective for small-scale deep neural networks, yet can produce inconsistent or even d…
Unilaw-R1: A Large Language Model for Legal Reasoning with Reinforcement Learning and Iterative Inference
Hua Cai, Shuang Zhao, Liang Zhang +5
Reasoning-focused large language models (LLMs) are rapidly evolving across various domains, yet their capabilities in handling complex legal problems remains underexplored. In this…
EmoHead: Emotional Talking Head via Manipulating Semantic Expression Parameters
Xuli Shen, Hua Cai, Dingding Yu +3
Generating emotion-specific talking head videos from audio input is an important and complex challenge for human-machine interaction. However, emotion is highly abstract concept wi…
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge
Hua Cai, Xuli Shen, Qing Xu +5
In empathetic conversations, individuals express their empathy towards others. Previous work has mainly focused on generating empathetic responses by utilizing the speaker's emotio…