From the 2 of 6 linked papers with an AI index.
1 citations · 1 across the 3 of their papers we have counts for
6 papers
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…
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…
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
Xiaoya Li, Albert Wang, Guoyin Wang +2
The paper presents CUDA-L1, a reinforcement learning system that automatically optimizes CUDA code using a contrastive RL algorithm, achieving large speedups on GPU kernels without…
AI tutoring can safely and effectively support students: An exploratory RCT in UK classrooms
LearnLM Team, Eedi, : +33
One-to-one tutoring is widely considered the gold standard for personalized education, yet it remains prohibitively expensive to scale. To evaluate whether generative AI might help…
Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
Albert Di Wang, Ye Du
Risk management is a prominent issue in peer-to-peer lending. An investor may naturally reduce his risk exposure by diversifying instead of putting all his money on one loan. In th…
Yi-Lightning Technical Report
Alan Wake, Bei Chen, C. X. Lv +41
This technical report presents Yi-Lightning, our latest flagship large language model (LLM). It achieves exceptional performance, ranking 6th overall on Chatbot Arena, with particu…