Yinlin Deng

According to our database, Yinlin Deng authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models.

Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao, Jiawei Liu, Reyhaneh Jabbarvand, Lingming Zhang

Proc. ACM Program. Lang., 2024

Agentless: Demystifying LLM-based Software Engineering Agents.

Chunqiu Steven Xia, Yinlin Deng, Soren Dunn, Lingming Zhang

CoRR, 2024

Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM.

Chunqiu Steven Xia, Yinlin Deng, Lingming Zhang

CoRR, 2024

Large Language Models are Edge-Case Generators: Crafting Unusual Programs for Fuzzing Deep Learning Libraries.

Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, Lingming Zhang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

NExT: Teaching Large Language Models to Reason about Code Execution.

Ansong Ni, Miltiadis Allamanis, Arman Cohan, Yinlin Deng, Kensen Shi, Charles Sutton, Pengcheng Yin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.

Kensen Shi, Joey Hong, Yinlin Deng, Pengcheng Yin, Manzil Zaheer, Charles Sutton

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

White-box Compiler Fuzzing Empowered by Large Language Models.

Chenyuan Yang, Yinlin Deng, Runyu Lu, Jiayi Yao, Jiawei Liu, Reyhaneh Jabbarvand, Lingming Zhang

CoRR, 2023

Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT.

Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, Lingming Zhang

CoRR, 2023

Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models.

Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Fuzzing Automatic Differentiation in Deep-Learning Libraries.

Chenyuan Yang, Yinlin Deng, Jiayi Yao, Yuxing Tu, Hanchi Li, Lingming Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Coverage-guided tensor compiler fuzzing with joint IR-pass mutation.

Jiawei Liu, Yuxiang Wei, Sen Yang, Yinlin Deng, Lingming Zhang

Proc. ACM Program. Lang., 2022

Fuzzing Deep-Learning Libraries via Large Language Models.

Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang

CoRR, 2022

Fuzzing deep-learning libraries via automated relational API inference.

Yinlin Deng, Chenyuan Yang, Anjiang Wei, Lingming Zhang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source.

Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022