Author

Xiaodong Gu

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#large language models Open access Oct 2026

Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation

Software testing is a critical, yet resource-intensive phase of the software development lifecycle. Search-based approaches typically achieve high coverage but produce tests with low readability, whereas large language model (LLM)-based methods generate more human-readable tests but often suffer from low coverage and c...

Pengyu Chang, Yixiong Fang, SILIN CHEN et al. · Proceedings of the ACM on so... · 0 citations

#large language models Open access Oct 2026

Seeing Is Coding: On the Effectiveness of Vision Language Models in Code Understanding

Large Language Models (LLMs) have achieved remarkable success in source code understanding, yet as software systems grow in scale, computational efficiency has become a critical bottleneck. Currently, these models rely on a text-based paradigm that treats source code as a linear sequence of tokens, which leads to a lin...

Yanan Shi, Chaoxiang Xie, Zhensu Sun et al. · Proceedings of the ACM on so... · 1 citation