[Submitted on 22 Jul 2026]
Title:SAGE: Schema-Guided LLMs for Grant Review
View a PDF of the paper titled SAGE: Schema-Guided LLMs for Grant Review, by Erik Varapaev and 5 other authors
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Abstract:Grant reviewers must apply detailed criteria to application forms, budgets, and supporting documents while producing assessments that colleagues can inspect. We present SAGE, Schema-Guided Aspect-Based Grant Evaluation, a system that translates a grant rubric into structured checks and links its judgements to evidence from the application package. We evaluate SAGE in two stages on 35 nonprofit grant applications. A post-factum comparison with 105 reviews from the original competition shows fair ordinal agreement (kappa = 0.29). The foundation then conducted a criterion-level re-review after inspecting SAGE, producing 202 assessments. In this assisted round, SAGE reached kappa = 0.58 and outperformed a one-prompt-per-criterion baseline (kappa = 0.33 on the common subset), with higher rank correlation and lower error. A claim-level audit further identifies confirmed, disputed, and unaddressed parts of the structured draft. SAGE operationalizes the review methodology by producing a detailed, evidence-linked, and auditable draft for expert correction.
Comments: 14 pages, 2 figures, 10 tables
Subjects:
Computation and Language (cs.CL)
ACM classes: I.2.7; I.2.6
Cite as: arXiv:2609.20829 [cs.CL]
(or arXiv:2609.20829v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2609.20829
arXiv-issued DOI via DataCite
Submission history
From: Andrey Chetvergov [view email] [v1] Wed, 22 Jul 2026 17:55:56 UTC (2,434 KB)
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