Adversarial Robustness of CodeLLMs on RoundTripCodeEval Benchmark

Abstract

Abstract: This report synthesises findings from 3 peer-reviewed papers addressing the following research question: What is the accuracy drop of codellambda-7b-hf-float16 on RoundTripCodeEval when subjected to adversarial code perturbations, and how does this robustness compare to Llama-2-13b and WizardCoder-13b. 8 claims were extracted from source literature; 8 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.3/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

What is the accuracy drop of codellambda-7b-hf-float16 on RoundTripCodeEval when subjected to adversarial code perturbations, and how does this robustness compare to Llama-2-13b and WizardCoder-13b?

Verification Level

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

Quality Tier

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

Quality Dimensions

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

Correction Record

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

Provenance