17 citations · 34 across the 21 of their papers we have counts for
23 papers
EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor Hypergraph
Zeyang Cui, Jiannong Cao, Zhiyuan Wen +3
Agent memory allows LLM agents to use earlier interactions when answering new queries. Existing methods often compress interaction histories into summaries or other LLM-generated r…
Reflection Steering: Disentangling Reflection from Reasoning in Activation Space for Token-Efficient Inference
Jiarui Hu, Zhiyuan Wen, Xiaoyun Liu +2
Large reasoning models often produce reasoning traces with verification, revision, and backtracking. When reflection merely re-checks established results, it wastes reasoning token…
PolyDebate: A Game-Orchestrated Multimodal System for Debate Skills Practice and Evaluation
Jianing Yin, Weng Pan Kuan, Xiaoyun Liu +4
Debate is a structured form of persuasive communication that trains argument construction, rebuttal, oral delivery, and audience awareness. These skills are valued in education, la…
PolyPresentation: A Multimodal AI Platform for Slide-Aware Iterative Presentation Practice
Chen Chen, Jihao Li, Zhiyuan Wen +3
Presentations are essential for students, researchers, and professionals to communicate ideas persuasively, yet delivering them effectively requires repeated practice that coordina…
PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment
Zhiyuan Wen, Jiannong Cao, Kelly Chan +5
Preparing for job interviews is important for securing desired positions, yet realistic practice remains difficult to access: real interviews are infrequent, expert mock coaching i…
PersonalPlan: Planning Multi-Agent Systems for Personalized Programming Learning
Zhiyuan Wen, Jiannong Cao, Peng Gao +4
Effective programming education requires personalized instruction adapted to diverse learner backgrounds. However, while LLM-based multi-agent systems (MAS) excel at complex planni…
FactCheck: Feasibility-aware Long-term Action Anticipation with Multi-agent Collaboration
Rui Cao, Jiannong Cao, Bo Yuan +2
Long-term action anticipation (LTA) aims to predict an ordered sequence of future verb-noun actions from a partially observed video. While this task serves as the foundation for em…
FOCAL: Filtered On-device Continuous Activity Logging for Efficient Personal Desktop Summarization
Haoran Yin, Zhiyuan Wen, Jiannong Cao +2
Desktop interaction streams provide a continuous, privacy-sensitive record of interleaved user tasks. Transforming these streams into task-organized personal logs on-device faces t…
SurveyLens: A Discipline-Aware Benchmark for Automatic Survey Generation
Beichen Guo, Zhiyuan Wen, Jia Gu +6
Automatic Survey Generation (ASG) aims to produce comprehensive literature surveys by retrieving, organizing, and synthesizing academic papers. Despite rapid progress in specialize…
PS: Parameterized Control for Fine-Grained Student Proficiency Simulation
Ruochen Liu, Zhiyuan Wen, Hao Yan +3
Understanding how students with different proficiency levels respond to educational materials is a critical issue within the field of AI for Education. However, acquiring sufficien…
SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems
Beichen Guo, Zhiyuan Wen, Yu Yang +3
The growing interest in automatic survey generation (ASG), a task that traditionally required considerable time and effort, has been spurred by recent advances in large language mo…
FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up
Chen Chen, Jianing Yin, Jiannong Cao +5
Postoperative follow-up plays a crucial role in monitoring recovery and identifying complications. However, traditional approaches, typically involving bedside interviews and manua…
CodeEdu: A Multi-Agent Collaborative Platform for Personalized Coding Education
Jianing Zhao, Peng Gao, Jiannong Cao +5
Large Language Models (LLMs) have demonstrated considerable potential in improving coding education by providing support for code writing, explanation, and debugging. However, exis…
InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
Zhiyuan Wen, Jiannong Cao, Zian Wang +3
The exponential growth of academic literature creates urgent demands for comprehensive survey papers, yet manual writing remains time-consuming and labor-intensive. Recent advances…
Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models
Zhiyuan Wen, Yu Yang, Jiannong Cao +3
As large language models (LLMs) appear to behave increasingly human-like in text-based interactions, more and more researchers become interested in investigating personality in LLM…
Personality-affected Emotion Generation in Dialog Systems
Zhiyuan Wen, Jiannong Cao, Jiaxing Shen +3
Generating appropriate emotions for responses is essential for dialog systems to provide human-like interaction in various application scenarios. Most previous dialog systems tried…
Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation
Zhiyuan Wen, Jiannong Cao, Yu Yang +2
Personality Recognition in Conversation (PRC) aims to identify the personality traits of speakers through textual dialogue content. It is essential for providing personalized servi…
Low-Resource Court Judgment Summarization for Common Law Systems
Shuaiqi Liu, Jiannong Cao, Yicong Li +2
Common law courts need to refer to similar precedents' judgments to inform their current decisions. Generating high-quality summaries of court judgment documents can facilitate leg…
Generating a Structured Summary of Numerous Academic Papers: Dataset and Method
Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1
Writing a survey paper on one research topic usually needs to cover the salient content from numerous related papers, which can be modeled as a multi-document summarization (MDS) t…
Long Text and Multi-Table Summarization: Dataset and Method
Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1
Automatic document summarization aims to produce a concise summary covering the input document's salient information. Within a report document, the salient information can be scatt…
Automatically Select Emotion for Response via Personality-affected Emotion Transition
Wen Zhiyuan, Cao Jiannong, Yang Ruosong +2
To provide consistent emotional interaction with users, dialog systems should be capable to automatically select appropriate emotions for responses like humans. However, most exist…
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing
Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen +4
Millions of mobile apps are available in app stores, such as Apple's App Store and Google Play. For a mobile app, it would be increasingly challenging to stand out from the enormou…
EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors
Yu Yang, Zhiyuan Wen, Jiannong Cao +3
Early prediction of students at risk (STAR) is an effective and significant means to provide timely intervention for dropout and suicide. Existing works mostly rely on either onlin…