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cs.CL2026
Meta-Moderator: Empowering Multi-Agent Debate with Meta-Cognition
Wentao Hu, Zhuoyue Wan, Jinhao Shen +3
Multi-agent debate can improve large language model reasoning by eliciting diverse hypotheses and critiques, yet its performance is often constrained by weak moderation. Common pip…
cs.CL2026
SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models
Shuaimin Li, Liyang Fan, Zeyang Li +9
Evaluating code large language models (Code LLMs) requires reliable detection of data leakage, where benchmark performance is artificially inflated by exposure to benchmark data du…
cs.DB2026
DataClaw: An Autonomous Data Agent with Instant Messaging Integration
Huahang Li, Wentao Hu, Zhuoyue Wan +3
In daily life, there are many scenarios that people need to tackle data-related tasks, such as filling out forms, analyzing Excel files, and visualize data report. However, the too…