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Found 3 papers, 2 papers with code
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search
We first show that the tree-search policy in ReST-MCTS* achieves higher accuracy compared with prior LLM reasoning baselines such as Best-of-N and Tree-of-Thought, within the same search budget.
Rock Classification Based on Residual Networks
This boosts the model's performance, achieving an accuracy of 73. 7% on the test dataset.
SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning
To bridge these gaps, we introduce SciGLM, a suite of scientific language models able to conduct college-level scientific reasoning.
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