BioCon is the first benchmark dataset and cross-modal framework for detecting inconsistencies between methodological descriptions in bioinformatics papers and their code implementations.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
R2ABench benchmark shows LLMs generate syntactically valid software architectures from requirements but produce structurally fragmented results due to weak relational reasoning.
Contract-Coding projects ambiguous intents into formal Language Contracts as a single source of truth to enable more reliable repo-level code generation, reporting 47% functional success on the Greenfield-5 benchmark.
citing papers explorer
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Do Papers Tell the Whole Story? A Benchmark and Framework for Uncovering Hidden Implementation Gaps in Bioinformatics
BioCon is the first benchmark dataset and cross-modal framework for detecting inconsistencies between methodological descriptions in bioinformatics papers and their code implementations.
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Benchmarking Requirement-to-Architecture Generation with Hybrid Evaluation
R2ABench benchmark shows LLMs generate syntactically valid software architectures from requirements but produce structurally fragmented results due to weak relational reasoning.
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Contract-Coding: Towards Repo-Level Generation via Structured Symbolic Paradigm
Contract-Coding projects ambiguous intents into formal Language Contracts as a single source of truth to enable more reliable repo-level code generation, reporting 47% functional success on the Greenfield-5 benchmark.