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SRCH:4EF92128

What is the difference in execution accuracy between Llama3-70B and Codestral-7B on the MBPP benchmark after d

Submitted: 29 May 2026
Review score: 5.33/10
Verification: L2, Source-grounded claims
Quality tier: Watchlist
Verified claims: 12

Abstract

Abstract: Large Language Models (LLMs) have demonstrated significant capabilities in understanding and analyzing code for security vulnerabilities, such as Common Weakness Enumerations (CWEs). However, their reliance on cloud infrastructure and substantial computational requirements pose challenges for analyzing sensitive or proprietary codebases due to privacy concerns and inference costs. This work explores the potential of Small Language Models (SLMs) as a viable alternative for accurate, on-premise vulnerability detection. We investigated whether a 350-million parameter pre-trained code model (codeg

Research Question

What is the difference in execution accuracy between Llama3-70B and Codestral-7B on the MBPP benchmark after domain-adaptive pretraining on vulnerability detection datasets?

Verification Level

Paper levelL2, Source-grounded claims
Source-grounded claims12
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

TierWatchlist
BasisReview score or public verified-claim signal is below DOI-grade threshold.

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 lineage12 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.