activity
20202026
most citedGenerating a Structured Summary of Numerous Academic Papers: Dataset and Method

17 citations · 34 across the 21 of their papers we have counts for

collaborators

23 papers

cs.AI2026

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…

cs.LG2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.CL2026

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…

cs.MA2026

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…