Revolutionizing In-Context Learning: The HiAR-ICL Paradigm for Advanced Reasoning with MCTS

Large language models are good at many tasks but bad at complex reasoning, especially when it comes to math problems. Current In-Context Learning (ICL) methods depend heavily on carefully chosen examples and human help, which makes it hard to handle new problems. Traditional methods also use straightforward reasoning techniques that limit their ability to look […]

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