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Author

Yubei Li

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#artificial intelligence Preprint Sep 2026

Codebook Agent: Amortized Topology Design for LLM Multi-Agent Systems

Codebook Agent is the most accurate method on all six benchmarks the authors compare, and an MLP proxy that reads the flattened adjacency, regressed on measured utility and per-task normalized token cost, reranks the top decoded candidates in a single batched forward pass.

Jin-Xi Yu, Yubei Li, E. Jiang et al. · 1 citation

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents

This work presents Memory as a Controlled Process (MemCon), a framework that models memory operations as a Markov Decision Process and learns an online policy that adaptively decides when, what, and how much to retrieve, when to inject a distilled plan, and when to consolidate or forget.

Eric Jiang, Zhi Zhang, Yuchen Wu et al. · 1 citation

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