Author

Chen Han

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Jul 2026

PReM: Learning What to Preserve and When to Refresh for Context Compression

PReM (Preserve and Refresh Memory), a context-compression framework that maintains the long context as the model's internal layer-wise KV memory and learns what to preserve and when to refresh it, is introduced.

Bohan Yu, Lei Shen, Chenxi Zhou et al. · arXiv.org · 0 citations

Preprint Aug 2026

Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models

DynaRule is proposed, an end-to-end framework that injects the given rules into the KV cache and turns retrieval into an internal, learnable, step-wise process, and can re-attend to the most relevant rules at each step, dynamically replacing outdated ones to support more stable multi-step reasoning.

Bohan Yu, Pengfei Cao, Chen Han et al. · 1 citation