2 citations · 2 across the 6 of their papers we have counts for
6 papers · 1 filter
PEER: Unified Process-Outcome Reinforcement Learning for Structured Empathetic Reasoning
Yunxiao Wang, Meng Liu, Sicheng Zhao +2
Emotional support conversations require more than fluent responses. Supporters need to understand the seeker's situation and emotions, adopt an appropriate strategy, and respond in…
Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy Planning
Tao He, Lizi Liao, Ming Liu +1
Recent advancements in dialogue policy planning have emphasized optimizing system agent policies to achieve predefined goals, focusing on strategy design, trajectory acquisition, a…
Boosting Chart-to-Code Generation in MLLM via Dual Preference-Guided Refinement
Zhihan Zhang, Yixin Cao, Lizi Liao
Translating chart images into executable plotting scripts-referred to as the chart-to-code generation task-requires Multimodal Large Language Models (MLLMs) to perform fine-grained…
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues
Tao He, Lizi Liao, Yixin Cao +5
Recent advancements in proactive dialogues have garnered significant attention, particularly for more complex objectives (e.g. emotion support and persuasion). Unlike traditional t…
Planning Like Human: A Dual-process Framework for Dialogue Planning
Tao He, Lizi Liao, Yixin Cao +4
In proactive dialogue, the challenge lies not just in generating responses but in steering conversations toward predetermined goals, a task where Large Language Models (LLMs) typic…
Mix-Initiative Response Generation with Dynamic Prefix Tuning
Yuxiang Nie, Heyan Huang, Xian-Ling Mao +1
Mixed initiative serves as one of the key factors in controlling conversation directions. For a speaker, responding passively or leading proactively would result in rather differen…