Shizhuo Dylan Zhang

According to our database, Shizhuo Dylan Zhang authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

CodeMind: A Framework to Challenge Large Language Models for Code Reasoning.

Changshu Liu, Shizhuo Dylan Zhang, Reyhaneh Jabbarvand

CoRR, 2024

Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion.

Shizhuo Dylan Zhang, Curt Tigges, Zory Zhang, Stella Biderman, Maxim Raginsky, Talia Ringer

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

2023

Can Transformers Learn to Solve Problems Recursively?

Shizhuo Dylan Zhang, Curt Tigges, Stella Biderman, Maxim Raginsky, Talia Ringer

CoRR, 2023

Getting More out of Large Language Models for Proofs.

Shizhuo Dylan Zhang, Talia Ringer, Emily First

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