A grammar-aligned MCMC sampler with prefix-resampling proposals and Metropolis-Hastings acceptance converges to the constrained language model distribution and improves fuzzing seed coverage.
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Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective
A grammar-aligned MCMC sampler with prefix-resampling proposals and Metropolis-Hastings acceptance converges to the constrained language model distribution and improves fuzzing seed coverage.