Hedgehog distribution semantics is non-compositional; any compositional semantics equals sampling semantics; Hedgehog→ provides compositional semantics via arrow calculus while remaining expressive.
MacIver, Zac Hatfield-Dodds, and Many Other Contributors
5 Pith papers cite this work. Polarity classification is still indexing.
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DateSAT introduces the first solver for satisfiability constraints over dates and calendar periods via five reduction strategies to integer SMT.
Introduces CADTestBench as a test-based benchmark for Text-to-CAD and shows that using CADTests to guide generation produces simple baselines outperforming prior methods.
ConcoLixir uses a reactive LLM oracle to improve line coverage in Python concolic testing by 8.6 to 17 percentage points on synthetic, real-world, and library targets.
citing papers explorer
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Compositional Generator Equivalence (Extended Version)
Hedgehog distribution semantics is non-compositional; any compositional semantics equals sampling semantics; Hedgehog→ provides compositional semantics via arrow calculus while remaining expressive.
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DateSAT: A Framework for Solving Date and Period Constraints
DateSAT introduces the first solver for satisfiability constraints over dates and calendar periods via five reduction strategies to integer SMT.
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Text-to-CAD Evaluation with CADTests
Introduces CADTestBench as a test-based benchmark for Text-to-CAD and shows that using CADTests to guide generation produces simple baselines outperforming prior methods.
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ConcoLixir: Reactive LLM Discovery Oracles for Python Concolic Testing
ConcoLixir uses a reactive LLM oracle to improve line coverage in Python concolic testing by 8.6 to 17 percentage points on synthetic, real-world, and library targets.
- PBT-Bench: Benchmarking AI Agents on Property-Based Testing