3 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
Learning Multi-Step Query Rewriting via Corpus Feedback for Conversational Search
João Coelho, Hong Wang, Jie Yuan +3
Conversational Query Rewriting (CQR) turns a context dependent user turn into a standalone query for a retriever, and most methods do this in a single step from the dialogue histor…
Giving Credit Where It's Due: Redundancy-Aware Learning for Efficient Reasoning
Yuqing Zhou, Hong Wang, Manqing Mao +8
Large reasoning models can produce correct yet unnecessarily long reasoning traces. Existing methods improve reasoning efficiency with trajectory-level objectives or local token- a…
Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning
Zheyuan Zhang, Manqing Mao, Hong Wang +8
Critic-free group-based reinforcement learning has become a scalable approach for post-training large language models. However, most existing methods allocate the same number of ro…
WISE-Flow: Workflow-Induced Structured Experience for Self-Evolving Conversational Service Agents
Yuqing Zhou, Zhuoer Wang, Jie Yuan +4
Large language model (LLM)-based agents are widely deployed in user-facing services but remain error-prone in new tasks, tend to repeat the same failure patterns, and show substant…