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cs.LG2026
D2K-Bench: Can LLM Agents Turn Expert Designs into Efficient GPU Kernels?
Daifeng Li, Huiqiang Jiang, Chengruidong Zhang +6
GPU kernels generated by large language model (LLM) agents can remain less efficient than expert implementations, but runtime alone does not reveal how the gap relates to design di…
physics.chem-ph2026
Formal O(N3)-Scaling Second-Order Perturbation Theory by Block Tensor Decomposition: Implementation on MP2 and rPT2
Yueyang Zhang, Wei Wu, Peifeng Su
Block tensor decomposition (BTD) and canonical polyadic decomposition (CPD) are combined into a unified -scaling framework for second-order perturbation theory (PT2), demon…
cs.LG2026
OScaR: The Occam's Razor for Extreme KV Cache Quantization in LLMs and Beyond
Zunhai Su, Rui Yang, Chao Zhang +12
The rapid advancement toward long-context reasoning and multi-modal intelligence has made the memory footprint of the Key-Value (KV) cache a dominant memory bottleneck for efficien…