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Yuyue Wang

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Conference Open access Jul 2026

AgentDropout: Dynamic Redundancy Elimination for Multi-Agent Collaboration Efficiency

AgentDropout is a dynamic strategy inspired by dropout regularization in neural networks, which selectively deactivates low-contribution agents during multi-agent collaboration, suggesting that dynamic agent deactivation may be useful for deploying multi-agent LLM systems under computational budget constraints.

Zhengxi Xiao, Qi Guo, Yuyue Wang et al. · 1 citation
Preprint Aug 2026

Automatic or Controlled? Repetition Priming Reveals Divergent Processing in Base LLMs, Instruct LLMs, and Humans

Words recur constantly in natural language use, yet it remains unclear whether language models reactivate prior representations or re-evaluate repeated words afresh, and whether post-training changes this default behavior. We apply repetition priming (Shiffrin and Schneider, 1977) to 15 models across five model familie...

Jinglei Ren, Yuyue Wang · 0 citations

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