4 papers · 1 filter
Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation
Bo Zhang, Hui Ma, Dailin Li +4
Large language models (LLMs) demonstrate remarkable text comprehension and generation capabilities but often lack the ability to utilize up-to-date or domain-specific knowledge not…
Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation
Hui Ma, Bo Zhang, Bo Xu +3
Empathetic response generation, aiming to understand the user's situation and feelings and respond empathically, is crucial in building human-like dialogue systems. Traditional app…
Distilling Implicit Multimodal Knowledge into Large Language Models for Zero-Resource Dialogue Generation
Bo Zhang, Hui Ma, Jian Ding +3
Integrating multimodal knowledge into large language models (LLMs) represents a significant advancement in dialogue generation capabilities. However, the effective incorporation of…
Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
Ling Luo, Jinzhong Ning, Yingwen Zhao +17
Objective: Most existing fine-tuned biomedical large language models (LLMs) focus on enhancing performance in monolingual biomedical question answering and conversation tasks. To i…