Prefix filters learned by the Palla algorithm capture LLM error patterns and enable constrained sampling that boosts TypeScript compile rates by over 60% for Qwen2.5-1.5B to match larger models.
Bootstrapping fuzzers for compilers of low-resource language dialects using language models.arXiv preprint arXiv:2512.05887, 2025
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Learning the Error Patterns of Language Models
Prefix filters learned by the Palla algorithm capture LLM error patterns and enable constrained sampling that boosts TypeScript compile rates by over 60% for Qwen2.5-1.5B to match larger models.