Author

Wen-Tao Ren

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#machine learning Preprint Oct 2026

SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention

Long-context LLM serving is increasingly bottlenecked by KV-cache memory, especially in resource-constrained scenarios. Among existing KV-cache compression strategies, token-wise methods reduce cached states but risk information loss through eviction or condensation, while feature-wise methods reduce per-token KV dimen...

Zi-Han Teng, Jiayu Zhao, Wen-Tao Ren et al. · 0 citations

#artificial intelligence Preprint May 2026

BitsMoE: Cost-Aware Bit Allocation in Spectral Space for MoE LLM Quantization

BitsMoE is proposed, a cost-aware mixed-precision quantization framework built on two complementary techniques that separates expert weights into a shared basis and expert-specific spectral components, defining structural quantization units while exploiting cross-expert redundancy.

Jiayu Zhao, Zi-Han Teng, Min-Hao Fan et al. · 0 citations