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Sining Zhoubian

2 accepted papers

2024

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

NeurIPS 2024poster

Recent methodologies in LLM self-training mostly rely on LLM generating responses and filtering those with correct output answers as training data. This approach often yields a low-quality fine-tuning training set (e.g., incorrect plans or intermediate reasoning). In this paper, we develop a reinfor…

2024

SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models

NeurIPS 2024poster

Large Language Models (LLMs) have shown promise in assisting scientific discovery. However, such applications are currently limited by LLMs' deficiencies in understanding intricate scientific concepts, deriving symbolic equations, and solving advanced numerical calculations. To bridge these gaps, we…