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Pascal Kesseli

1 accepted papers

2025

Logic.py: Bridging the Gap between LLMs and Constraint Solvers

NeurIPS 2025poster

We present a novel approach to formalise and solve search-based problems using large language models, which significantly improves upon previous state-of-the-art results. We demonstrate the efficacy of this approach on benchmarks like the logic puzzles tasks in ZebraLogicBench. Instead of letting th…

Cited by 0SourcecodeScholar