reinforcement learning 2algorithm optimization 1approximate nearest neighbor search 1code generation 1contrastive learning 1cuda optimization 1gpu performance 1large language models 1retrieval-augmented generation 1
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cs.LG2026
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
Songqiao Su, Xiaoya Li, Albert Wang +3
In this paper, we propose CUDA-L2, a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multi…
cs.LG2026
CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
Xiaoya Li, Albert Wang, Guoyin Wang +2
The paper introduces CRINN, a contrastive reinforcement learning framework that automatically designs faster approximate nearest‑neighbor search algorithms while respecting accurac…