8 papers
PolicyMediator: Multi-Regional Policy Learning through Mediation Agents with Evolving Skills in OPC Ecosystems
Jie Li, Bin Guo, Georgina Curto +3
One-person companies (OPCs) are emerging enterprises operated by individual entrepreneurs through digital platforms and LLM-based AI agents. These highly skilled entrepreneurs are…
Proactive Dialogue Policy Optimization via Cognitive-State Transition
Minghui Ma, Mengqi Chen, Bin Guo +1
Proactive dialogue requires agents to continually adapt their policies to user feedback while progressing toward task objectives over multiple turns. To move beyond imitation learn…
Cognitive World Model for Progressive BDI/E Trajectory Evaluation of Conversational Agents
Minghui Ma, Bin Guo, Hao Wang +4
As LLM-based conversational agents advance toward increasingly open-ended and interaction-intensive scenarios, task completion alone provides an incomplete assessment of their effe…
Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents
Minghui Ma, Bin Guo, Runze Yang +7
Persuasive dialogue requires reasoning about others' latent mental states, a capability known as Theory of Mind (ToM). However, due to reliance on simple prompting strategies and i…
Truth or Tribe: How In-group Favoritism Prioritize Facts in Persona Agents
Shijun Lei, Hongyu Wang, Yunji Liang +3
In-group favoritism refers to the phenomena of favoring members of one's in-group over out-group members and is widely observed in numerous social cooperative behaviors. Recently,…
MemoCue: Empowering LLM-Based Agents for Human Memory Recall via Strategy-Guided Querying
Qian Zhao, Zhuo Sun, Bin Guo +1
Agent-assisted memory recall is one critical research problem in the field of human-computer interaction. In conventional methods, the agent can retrieve information from its equip…
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference
Jing Du, Zesheng Ye, Bin Guo +5
Recent cross-domain recommendation (CDR) studies assume that disentangled domain-shared and domain-specific user representations can mitigate domain gaps and facilitate effective k…
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
Jing Du, Zesheng Ye, Bin Guo +2
Cross-Domain Recommendation (CDR) seeks to enable effective knowledge transfer across domains. Existing works rely on either representation alignment or transformation bridges, but…