3 papers
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.AI2025
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
Xumeng Wen, Zihan Liu, Shun Zheng +9
Recent advancements in long chain-of-thought (CoT) reasoning, particularly through the Group Relative Policy Optimization algorithm used by DeepSeek-R1, have led to significant int…
cs.AR2025
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
Guoyu Li, Shengyu Ye, Chunyun Chen +6
The emergence of neural network capabilities invariably leads to a significant surge in computational demands due to expanding model sizes and increased computational complexity. T…