Papers by Debjit Pal

1 papers
AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation (2025.findings-naacl)

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Challenge: Assertions have been the de facto collateral for hardware for over a decade.
Approach: They propose a benchmark to evaluate LLMs’ effectiveness for assertion generation quantitatively.
Outcome: The proposed benchmark compares state-of-the-art LLMs with existing benchmarks and shows that they generate higher fractions of functionally correct assertions.

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