Papers with generating candidate solutions

1 papers
PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement (2025.acl-demo)

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Challenge: Large Language Models (LLMs) are capable of material inference but lack formal rigour and verifiability.
Approach: They propose a framework to unify material and formal inference through an iterative conjecture–criticism process.
Outcome: The proposed framework unifies material and formal inference through an iterative conjecture–criticism process.

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