Author

Chen Chen

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#natural language process... Preprint Oct 2026

RAMP: Recurrent Adaptive Mixed Precision for Efficient Prefill in Recurrent-Depth Language Models

Recurrent-depth language models improve inference-time reasoning by repeatedly applying a shared network to refine internal representations, but the additional recurrent computation also increases inference cost. This overhead is particularly pronounced during long-context prefill, where the full input sequence is repe...

Ke Wan, Chen Chen · 0 citations

#machine learning Preprint Sep 2026

Attention Routing Stabilizes Early: Working-Set Inference for Recurrent Language Models

This work introduces WISE (Working-set Inference with Support Exploitation), a training-free method that uses unrestricted attention during early recurrent steps to discover a block-structured working set, then reuses its support in later steps while keeping attention weights and recurrent refinement dynamic.

Ke Wan, Chen Chen · 0 citations