Author

De-Rong Xu

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Preprint Oct 2026

CoEvolve: Counterfactual-Guided Co-Evolution of Memory and Collaboration in Multi-Agent Systems

Large language model (LLM)-based multi-agent systems have demonstrated remarkable capabilities across diverse tasks. Yet their memory and collaboration architectures often remain static, constraining continued adaptation and improvement over time. Recent work addresses this limitation by evolving memory or collaboratio...

Xu-Fei Shi, De-Rong Xu, Wei Chen et al. · 0 citations

Preprint Oct 2026

From Memory Hits to Answerable Evidence: Query-Conditioned Memory Compilation for Long-Term Agent Memory

Long-term agent memory requires recovering answer-relevant evidence dispersed across turns and sessions. Existing systems increasingly use structured memories and adaptive retrieval, yet often pass retrieved or expanded units directly to the reader, coupling memory addressing with evidence presentation and leaving the...

Shang-Ze Li, Yan-Yu Yao, De-Rong Xu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use Agents

This work proposes ATLAS, a dual-horizon diagnostic evaluation framework for industrial tool-use agents that instantiates LLM judge interfaces as executable signals with explicit evidence scopes and decision boundaries, and evaluates ATLAS on Meituan Xiaotuan production traffic.

Wei Chen, Pei-Lun Zhou, Zhao-Yu Hu et al. · 0 citations