Papers with derivation quality

1 papers
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions (2024.findings-emnlp)

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Challenge: Language models (LMs) perform complex mathematical reasoning in Physics where physical context requires that any symbolic manipulation satisfies complex semantics.
Approach: They systematically remove crucial context from prompts to force instances where model inference may be algebraically coherent, yet unphysical.
Outcome: The proposed models perform poorly in this domain, and their reasoning is not physics-informed.

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