Author

Yi Li

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#machine learning Preprint Oct 2026

SelectTTRL: Representation-Guided Data Selection for Efficient Test-Time Reinforcement Learning

Test-Time Reinforcement Learning (TTRL) enables large language models to adapt directly on unlabeled test problems by constructing pseudo-labels from multiple sampled responses. However, existing TTRL methods typically apply the same expensive sampling and optimization procedure to all test problems, despite substantia...

Yi Li, Li-Nan Yue, Weibo Gao · 0 citations