Posts tagged Fine-Tuning

New Paper: TLA-Prover — Fine-Tuning LLMs for Verifiable TLA+ Specification Synthesis

Building on our evaluation study that showed the best public LLMs achieve only 8.6% semantic correctness on TLA+ specification generation, we present TLA-Prover: a 20-billion-parameter model trained specifically for TLA+ specification synthesis.

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