L2T adapts LLM reasoning step by step by graph-labeling thoughts and using a reinforcement-learned GNN to tune prompts and sampling settings.
Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
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Learn to Think: Bootstrapping LLM Reasoning Capability Through Graph Representation Learning
L2T adapts LLM reasoning step by step by graph-labeling thoughts and using a reinforcement-learned GNN to tune prompts and sampling settings.