Author

Wanqi Zhou

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#artificial intelligence Preprint Sep 2026

Remember by Asking: Retrieval-Induced Memory Evolution for LLM Agents

RIME is introduced, a retrieval-induced memory framework that shifts memory construction from monolithic compression toward evidence-centered integration and consistently achieves the best performance across all three quality metrics among the compared methods, while requiring substantially fewer query-time LLM tokens.

Wan-Qi Zhou, Jia-Wei Lu, Yang Wang et al. · 0 citations

Preprint Aug 2026

GraphIR: Architecture-Level Search States for LLM-Guided Neural Architecture Evolution

GraphIR, an architecture-aware intermediate representation that supplements executable programs with a mutation-aligned candidate state, achieves the best overall search performance while maintaining comparable model size and favorable end-to-end NAS efficiency when integrated into OpenEvolve.

Zhen Liu, Wanqi Zhou, Shuanghao Bai et al. · 1 citation