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SRCH:2B9D9BC0

Multimodal vs. Text-Only Models on MATH Benchmark Performance and Efficiency

Submitted: 6 June 2026
Review score: 4.67/10
Verification: L2, Source-grounded claims
Quality tier: Quarantine candidate
Verified claims: 10

Abstract

Abstract: This report synthesises findings from 11 peer-reviewed papers addressing the following research question: How do multimodal models incorporating mathematical notation or diagrams perform compared to text-only models on the MATH dataset, and what is the trade-off in terms of inference efficiency. 10 claims were extracted from source literature; 2 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 4.7/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

How do multimodal models incorporating mathematical notation or diagrams perform compared to text-only models on the MATH dataset, and what is the trade-off in terms of inference efficiency?

Verification Level

Paper levelL2, Source-grounded claims
Source-grounded claims10
Claim record sourceparsed source sections

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

TierQuarantine candidate
BasisReview score is below 5.0; source-level inspection is required before relying on the synthesis.

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Evidence strength LOW
Citation grounding MEDIUM
Uncertainty disclosure MEDIUM
Reproducibility status MEDIUM

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

StatusCURRENT
Correction count0
Manifest contractpaper-manifest-v1.1
Correction contractcorrection-record-v1

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance

PublisherAssignee Research
Public provenanceL3, Claim aggregate record
Report artifactAvailable
External recordNot registered
Claim lineage10 aggregate source-grounded claims
Review methodAutomated multi-reviewer assessment
Quality guideHow to read scores, claims, manifests, and evidence links
Provenance contractsource-provenance-v1
NoteMachine-generated synthesis of existing literature. Not primary research.