Author

Ming Li

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#machine learning Sep 2026

On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality

Face/Off is introduced, a semantics-preserving identifier-renaming framework, and progressive naming conditions across multiple models and code-comprehension tasks are evaluated, revealing a systematic vulnerability in how current LLMs balance lexical cues against program structure.

Xin-Peng Shen, San-Zhuo Xi, Ya-Li Du et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification

This work proposes CIT-CAD, a framework that infers a Constraint Intent Tree (CIT) from the input description to represent the intended entities, hierarchy, operations, and relations in CAD code generation and defines expected constraints for verification.

Ya-Li Du, Hui Sun, San-Zhuo Xi et al. · 1 citation