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Co-authored TTT-Discover, a reinforcement learning system that allows LLMs to continue training at test time for specific problems.
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NVIDIA and Stanford Show Models Gain Accuracy by Treating Each Test Problem as a Learning Environment
NVIDIAannouncementpositiveJan 26, 2026
NVIDIA and Stanford's TTT-Discover achieves state-of-the-art performance across mathematics, GPU kernels, algorithms, and biology by applying reinforcement learning at test time to allow models to continue training on problem-specific experience.
“Referenced in "NVIDIA and Stanford Show Models Gain Accuracy by Treating Each Test Problem as a" in NVIDIA”
Reinforcement LearningLLMsAI ResearchFoundation Models
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Reinforcement Learning at Test Time
GitHubannouncementpositiveJan 26, 2026
TTT-Discover enables large language models to perform reinforcement learning at test time, adapting to problem-specific tasks and achieving state-of-the-art results in mathematics, GPU kernels, algorithms, and biology.
“Co-authored TTT-Discover, a reinforcement learning system that allows LLMs to continue training at test time for specific problems.”
Reinforcement LearningLLMsAI ResearchOpen Source AI