activity
20192026
most citedA Latent Feelings-aware RNN Model for User Churn Prediction with Behavioral Data

6 citations · 9 across the 14 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CL2026

OPSRD: On-Policy Self-Role Distillation

Weijie Ren, Yanwen Zhang, Hao Li +3

Role prompting elicits specialized behavior from large language models through an expert identity, offering a lightweight way to guide reasoning on demanding tasks. However, evalua…

cs.CL2026

SEPAL: Separated Expert Pairs with Answer-Level Fusion for Reliable LLM Collaboration

Weijie Ren, Yanwen Zhang, Hao Li +3

Multi-agent collaboration lets large language models (LLMs) improve question answering through deliberation and feedback. Yet shared discussion couples correction with exposure to…

cs.AI2026

ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding

Xinkui Zhao, Enbo Chen, Yifan Zhang +4

Multimodal agents operating in long-horizon environments must build and continually update multimedia memories to support entity-consistent, temporally grounded reasoning. However,…

cs.MA2026

ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy

Xinkui Zhao, Sai Liu, Yifan Zhang +6

Large Language Model (LLM)-based multi-agent systems rely on optimized collaboration topologies to balance performance and communication costs. However, current methods struggle wi…

cs.AI2026

ProMAS: Proactive Error Forecasting for Multi-Agent Systems Using Markov Transition Dynamics

Xinkui Zhao, Sai Liu, Yifan Zhang +4

The integration of Large Language Models into Multi-Agent Systems (MAS) has enabled the so-lution of complex, long-horizon tasks through collaborative reasoning. However, this coll…