Open-weight LLMs exhibit tool suppression under joint tool-calling and JSON-schema constraints due to grammar token masking; a two-pass inference method restores tool use.
Dingo: Constrained inference for diffusion llms
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RefineStat improves small language model performance on probabilistic program synthesis by adding semantic constraint enforcement and diagnostic-aware refinement, producing syntactically and statistically reliable code that often matches larger models.
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Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints
Open-weight LLMs exhibit tool suppression under joint tool-calling and JSON-schema constraints due to grammar token masking; a two-pass inference method restores tool use.
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RefineStat: Efficient Exploration for Probabilistic Program Synthesis
RefineStat improves small language model performance on probabilistic program synthesis by adding semantic constraint enforcement and diagnostic-aware refinement, producing syntactically and statistically reliable code that often matches larger models.