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By analyzing which concepts are invoked, we assess the knowledge dimension activated during problem-solving and whether the LLM navigates these domains coherently

Math Concepts, Domains: This dimension identifies the core mathematical ideas underlying a task, such as algebraic structures, number theory, or geometry

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THiNK: Can Large Language Models Think-aloud?

cs.CL · 2025-05-26 · reject · novelty 4.0

THiNK uses a multi-agent, feedback-driven loop of problem revision and GPT-4O-based Bloom's Taxonomy scoring to measure and improve higher-order thinking in LLMs on math word problems.

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  • THiNK: Can Large Language Models Think-aloud? cs.CL · 2025-05-26 · reject · none · ref 1

    THiNK uses a multi-agent, feedback-driven loop of problem revision and GPT-4O-based Bloom's Taxonomy scoring to measure and improve higher-order thinking in LLMs on math word problems.