Yazdanbakhsh, Amir

Self-Refine: Iterative Refinement with Self-Feedback

Madaan, A., Tandon, N., Gupta, P., Hallinan, S., Gao, L., Wiegreffe, S., Alon, U., Dziri, N., Prabhumoye, S., Yang, Y., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2,314

Learning Performance-Improving Code Edits

Shypula, A., Madaan, A., Zeng, Y., Alon, U., Gardner, J., Hashemi, M., Neubig, G., Ranganathan, P., Bastani, O., & Yazdanbakhsh, A. (2023) · arXiv

Software Engineering ResearchParallel Computing and Optimization Techniques

Cited by 146

An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks

Seshadri, K., Akin, B., Laudon, J., Narayanaswami, R., & Yazdanbakhsh, A. (2022) · 2022 IEEE International Symposium on Workload Characterization (IISWC)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 138

Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango

Madaan, A., & Yazdanbakhsh, A. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 24

Adapting AlphaEvolve to Optimize Fully Homomorphic Encryption on TPUs

Gorantala, S., Tong, J., Ali, A., Li, B., Katz, J., Kun, J., Steinke, T., Thakurta, A., Walker, J., & Yazdanbakhsh, A. (2026) · arXiv

Cryptography and Data SecurityCryptographic Implementations and Security

Cited by 0

AI-PROPELLER: Warehouse-Scale Interprocedural Code Layout Optimization with AlphaEvolve

Ananda, C. M., Gupta, R., Trofin, M., Grossman, A., Tallam, S., Li, X. D., & Yazdanbakhsh, A. (2026) · arXiv

Parallel Computing and Optimization TechniquesSoftware Engineering Research

Cited by 0