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20232026
most citedAdversarial Attack Classification and Robustness Testing for Large Language Models for Code

4 citations · 9 across the 8 of their papers we have counts for

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Showing 2026 · cs.SEShow all

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cs.SE2026

Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code

Yang Liu, Da Song, Armstrong Foundjem +2

Chain-of-Thought (CoT) prompting is widely used to elicit explicit reasoning from large language models for code (LLM4Code). However, its impact on robustness and the stability of…

cs.SE2026

Improving the Robustness of Large Language Models for Code Tasks via Fine-tuning with Perturbed Data

Yang Liu, Armstrong Foundjem, Xingfang Wu +2

Context: In the fast-paced evolution of software development, Large Language Models (LLMs) have become indispensable tools for tasks such as code generation, completion, analysis,…