AINeutralarXiv – CS AI · 9h ago6/10
🧠
TLA-Prover: Verifiable TLA+ Specification Synthesis via Preference-Optimized Low-Rank Adaptation
Researchers have developed TLA-Prover, a 20-billion-parameter AI model that significantly improves the synthesis of TLA+ formal specifications for distributed systems, achieving 30% correctness on verified benchmarks—roughly 3.5x better than previous baselines. The model combines supervised fine-tuning with repair-based policy optimization and uses TLC model checker feedback directly as a reward signal, eliminating the need for learned reward models.