AI RESEARCH
Reinforced Graph of Thoughts: RL-Driven Adaptive Prompting for LLMs
arXiv CS.LG
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ArXi:2605.22195v1 Announce Type: new Graph of Thoughts (GoT), a generalized form of recent prompting paradigms for large language models (LLMs), has been shown to be useful for elaborate problem solving. By executing a graph of operations, thoughts of the LLM are structured as an arbitrary graph, forming the actual graph of thoughts. Originally, the graph of operations is defined manually, which requires in-depth knowledge about the solution of the problem to solve. Such a static graph of operations is rigid and therefore lacks adaptability.