Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models Y Deng, CS Xia, H Peng, C Yang, L Zhang Proceedings of the 32nd ACM SIGSOFT international symposium on software …, 2023 | 246 | 2023 |
Large language models are edge-case generators: Crafting unusual programs for fuzzing deep learning libraries Y Deng, CS Xia, C Yang, SD Zhang, S Yang, L Zhang Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024 | 155* | 2024 |
Free lunch for testing: Fuzzing deep-learning libraries from open source A Wei, Y Deng, C Yang, L Zhang Proceedings of the 44th International Conference on Software Engineering …, 2022 | 98 | 2022 |
Fuzzing deep-learning libraries via automated relational api inference Y Deng, C Yang, A Wei, L Zhang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 63 | 2022 |
Agentless: Demystifying llm-based software engineering agents CS Xia, Y Deng, S Dunn, L Zhang arXiv preprint arXiv:2407.01489, 2024 | 56* | 2024 |
Coverage-guided tensor compiler fuzzing with joint ir-pass mutation J Liu, Y Wei, S Yang, Y Deng, L Zhang Proceedings of the ACM on Programming Languages 6 (OOPSLA1), 1-26, 2022 | 42 | 2022 |
Fuzzing automatic differentiation in deep-learning libraries C Yang, Y Deng, J Yao, Y Tu, H Li, L Zhang 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 33 | 2023 |
Whitefox: White-box compiler fuzzing empowered by large language models C Yang, Y Deng, R Lu, J Yao, J Liu, R Jabbarvand, L Zhang Proceedings of the ACM on Programming Languages 8 (OOPSLA2), 709-735, 2024 | 30 | 2024 |
NExT: Teaching Large Language Models to Reason about Code Execution A Ni, M Allamanis, A Cohan, Y Deng, K Shi, C Sutton, P Yin Forty-first International Conference on Machine Learning, 2024 | 15 | 2024 |
Top Leaderboard Ranking= Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM CS Xia, Y Deng, L Zhang First Conference on Language Modeling, 2024 | 15 | 2024 |
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis K Shi, J Hong, Y Deng, P Yin, M Zaheer, C Sutton International Conference on Learning Representations, 2024 | 13 | 2024 |
Free lunch for testing A Wei, Y Deng, C Yang, L Zhang Proceedings of the 44th International Conference on Software Engineering, 2022 | 1 | 2022 |
Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs? Y Deng, CS Xia, Z Cao, M Li, L ZHANG Advances in Neural Information Processing Systems 37, 54205-54238, 2025 | | 2025 |