arXiv — NLP / Computation & Language · · 3 min read

IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications

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Computer Science > Computation and Language

arXiv:2609.10539 (cs)
[Submitted on 9 Sep 2026]

Title:IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications

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Abstract:A research idea may be novel, coherent, and scientifically plausible, yet its proposed method may remain insufficiently specified for faithful implementation. We study the codification readiness of implementation-facing research-method specifications, defined by whether they provide sufficient methodological information for a competent implementer or coding agent to construct the intended method without unsupported assumptions. We construct evidence-grounded specifications and their supported resolutions from papers, codebases, issue threads, and reproduction artifacts. We introduce IdeaAMBIG, a benchmark of 660 evidence-grounded instances: 163 real-world gaps from reproducibility reports and GitHub issues, and 497 controlled synthetic gaps injected into codification-ready references. IdeaAMBIG evaluates three capabilities: codification-readiness assessment, defect localization, and clarification action generation. Defect localization receives only the specification, whereas clarification additionally receives the annotated defect. Across 13 LLMs, the best model achieves 9.6% Macro Defect Recovery Rate on real-world instances but 80.6% Macro Clarification Action Success Rate when given the defect. In an oracle study, supplying the gold resolution raises the downstream codification-ready rate from 14% to 98%. Across all evaluated models, defect localization is the main bottleneck, with stronger clarification given the defect.
Comments: Preprint. 74 pages, 18 figures
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2609.10539 [cs.CL]
  (or arXiv:2609.10539v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2609.10539
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Yiling Ma [view email]
[v1] Wed, 9 Sep 2026 17:59:04 UTC (10,543 KB)
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