Deep Learning Library Testing: Definition, Methods and Challenges X Zhang, W Jiang, C Shen, Q Li, Q Wang, C Lin, X Guan ACM Computing Surveys 57 (7), 1-37, 2025 | 4* | 2025 |
An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer W Jiang, Z Wang, J Zhai, S Ma, Z Zhao, C Shen NAACL Findings, 2025 | 3* | 2025 |
COSTELLO: Contrastive Testing for Embedding-Based Large Language Model as a Service Embeddings W Jiang, J Zhai, S Ma, X Zhang, C Shen Proceedings of the ACM on Software Engineering 1 (FSE), 906 - 928, 2024 | 3 | 2024 |
Black-Box Fairness Testing with Shadow Models W Jiang, C Shen, C Lin, J Wang, J Sun, X Gao International Conference on Information and Communications Security, 467-484, 2023 | 2 | 2023 |
Unveiling Provider Bias in Large Language Models for Code Generation X Zhang, J Zhai, S Ma, Q Bao, W Jiang, C Shen, Y Liu arXiv preprint arXiv:2501.07849, 2025 | 1 | 2025 |
From Effectiveness to Efficiency: Comparative Evaluation of Code Generated by LCGMs for Bilingual Programming Questions W Jiang, X Gao, J Zhai, S Ma, X Zhang, C Shen arXiv preprint arXiv:2406.00602, 2024 | 1 | 2024 |
Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal W Jiang, J Zhai, S Ma, Z Lei, X Xie, Y Wang, C Shen arXiv preprint arXiv:2502.18810, 2025 | | 2025 |
Efficient DNN-Powered Software with Fair Sparse Models X Gao, W Jiang, J Zhai, S Ma, X Zhang, C Shen Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | | 2024 |
Fairness in machine learning: definition, testing, debugging, and application X Gao, C Shen, W Jiang, C Lin, Q Li, Q Wang, Q Li, X Guan Science China Information Sciences 67 (9), 191201, 2024 | | 2024 |
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning X Zhang, J Zhai, S Ma, C Shen, T Li, W Jiang, Y Liu The Thirteenth International Conference on Learning Representations, 0 | | |