Tieyun Qian

Vision-language models are increasingly employed as multimodal conversational agents (MCAs) for diverse conversational tasks. Recently, reinforcement learning (RL) has been widely explored for adapting MCAs to various human-AI interaction scenarios. Despite showing great enhancement in generaliza...

Role-playing models (RPMs) are widely used in real-world applications but underperform when deployed in the wild. This degradation can be attributed to distribution shifts, including user, character, and dialogue compositional shifts. Existing methods like LLM-as-a-judge fall short in providing a...

Reasoning is fundamental to human intelligence and critical for problem-solving. In practice, answering complex questions often requires abundant reasoning steps involving long reasoning paths. Existing multi-hop reasoning methods mainly focus on short-hop questions with only short reasoning path...