47 citations · 52 across the 9 of their papers we have counts for
9 papers
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…
Beyond Compliance: A Resistance-Informed Motivation Reasoning Framework for Challenging Psychological Client Simulation
Danni Liu, Bo Liu, Yuxin Hu +5
Psychological client simulators have emerged as a scalable solution for training and evaluating counselor trainees and psychological LLMs. Yet existing simulators exhibit unrealist…
A Proactive EMR Assistant for Doctor-Patient Dialogue: Streaming ASR, Belief Stabilization, and Preliminary Controlled Evaluation
Zhenhai Pan, Yan Liu, Jia You
Most dialogue-based electronic medical record (EMR) systems still behave as passive pipelines: transcribe speech, extract information, and generate the final note after the consult…
CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
Yan Liu, Bin Guo, Nuo Li +3
Artificial Intelligence of Things (AIoT) is an emerging frontier based on the deep fusion of Internet of Things (IoT) and Artificial Intelligence (AI) technologies. Although advanc…
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation
Nuo Li, Bin Guo, Yan Liu +3
Questions in Community Question Answering (CQA) sites are recommended to users, mainly based on users' interest extracted from questions that users have answered or have asked. How…
From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data
Bin Guo, Huihui Chen, Yan Liu +3
With the development of mobile social networks, more and more crowdsourced data are generated on the Web or collected from real-world sensing. The fragment, heterogeneous, and nois…
ActiveCrowd: A Framework for Optimized Multi-Task Allocation in Mobile Crowdsensing Systems
Bin Guo, Yan Liu, Wenle Wu +2
Worker selection is a key issue in Mobile Crowd Sensing (MCS). While previous worker selection approaches mainly focus on selecting a proper subset of workers for a single MCS task…
TaskMe: Multi-Task Allocation in Mobile Crowd Sensing
Yan Liu, Bin Guo, Yang Wang +3
Task allocation or participant selection is a key issue in Mobile Crowd Sensing (MCS). While previous participant selection approaches mainly focus on selecting a proper subset of…