9 papers
MAP: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion
Dingyi Zhang, Ziqing Zhuang, Linhai Zhang +2
Persuasive dialogue generation plays a vital role in decision-making, negotiation, counseling, and behavior change, yet it remains a challenging problem. In complex persuasion wher…
Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning
Ziqing Zhuang, Linhai Zhang, Jiasheng Si +2
Large language models (LLMs) have demonstrated strong reasoning capabilities, and as existing approaches for enhancing LLM reasoning continue to mature, increasing attention has sh…
Slow Tuning and Low-Entropy Masking for Safe Chain-of-Thought Distillation
Ziyang Ma, Qingyue Yuan, Linhai Zhang +1
Previous chain-of-thought (CoT) distillation methods primarily focused on enhancing the reasoning capabilities of Small Language Models (SLMs) by utilizing high-quality rationales…
SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling
Xin Zhang, Qiyu Wei, Yingjie Zhu +3
User reviews on e-commerce platforms exhibit dynamic sentiment patterns driven by temporal and contextual factors. Traditional sentiment analysis methods focus on static reviews, f…
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation
Linhai Zhang, Ziyang Gao, Deyu Zhou +1
Depression is a widespread mental health disorder, and clinical interviews are the gold standard for assessment. However, their reliance on scarce professionals highlights the need…
PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation
Linhai Zhang, Jialong Wu, Deyu Zhou +1
Personalized large language models (LLMs) aim to tailor their outputs to user preferences. Recent advances in parameter-efficient fine-tuning (PEFT) methods have highlighted the ef…