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Beyond Solver Verdicts: Generative Reward Models for Autoformalization
Published on Sep 10 · Submitted by Vikash Singh on Sep 11 · Amazon Web Services Abstract Neurosymbolic reasoning is vulnerable to incorrect but verdict-matching formal translations, which are addressed by a generative verification method that scores reference equivalence without an oracle and improves downstream accuracy.
StochBench: A Domain-Specific Benchmark for Stochastic Processes in Lean
Published on Sep 8 · Submitted by Debargha Ganguly on Sep 10 Abstract StochBench introduces 450 graduate-level stochastic processes problems in Lean 4 to benchmark formal theorem proving on domain-specific applied mathematics. Leading benchmarks for formal theorem proving with large language models are small collections drawn from competition math, such as the IMO and Putnam, that poorly represent field-specific applications.
Computer Science > Machine Learning
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