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R. Ganti

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#machine learning Preprint Oct 2026

A Self-Pruning Transformer: Extreme KV-Cache Compression with Universal Attention

The large KV-cache size of modern LLMs creates a barrier to efficient deployment. Recent work has explored replacing attention layers'RoPE positional embeddings with alternative decay-based mechanisms, which can then be used to prune KV-cache during inference. However, these decay functions have limited expressivity, a...

Davis Wertheimer, Hao-Chen Shen, Ahan Gupta et al. · 0 citations
Preprint Aug 2026

xPress: Parallel Refinement for Diffusion Drafters in Speculative Decoding

Block-diffusion drafters like dFlash generate an entire block of draft tokens in a single forward pass, drastically reducing the overhead of multiple-token drafting in speculative decoding. The crucial final step of the single-pass discrete denoising process involves using the logit distribution at each position to sam...

Zheng Wang, Davis Wertheimer, Y. Lim et al. · 2 citations

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