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cs.AI2026
MKEvolve: A Modular Multi-Agent Framework for Kernel Code Generation
Jason Yoo, Rajarshi Saha, Shaowei Zhu +3
Despite rapid progress in LLM-based code generation, writing correct and performant kernels for hardware accelerators remains a key bottleneck in scaling modern ML workloads. We pr…
cs.CL2026
ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing
Yongqi An, Chang Lu, Kuan Zhu +5
Large language models (LLMs) face growing challenges in efficient generative inference due to the increasing memory demands of Key-Value (KV) caches, especially for long sequences.…
cs.LG2026
Caracal: Causal Architecture via Spectral Mixing
Bingzheng Gan, Tianyi Zhang, Yusu Li +4
The scalability of Large Language Models to long sequences is hindered by the quadratic cost of attention and the limitations of positional encodings. To address these, we introduc…