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cs.AR2026
LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs
Zifan He, Shengyu Ye, Rui Ma +2
The rapid development of large language models (LLM) has greatly enhanced everyday applications. While many FPGA-based accelerators, with flexibility for fine-grained data control,…
cs.LG2026
Controlled LLM Training on Spectral Sphere
Tian Xie, Haoming Luo, Haoyu Tang +9
Scaling large models requires optimization strategies that ensure rapid convergence grounded in stability. Maximal Update Parametrization (P) provides a theoretical…