Learning to Superoptimize Real-world Programs. - Alex Shypula; Pengcheng Yin; Jeremy Lacomis; Claire Le Goues; Edward J. Schwartz; Graham Neubig (CoRR, 2021)

Explain-then-translate: an analysis on improving program translation with self-generated explanations. - Zilu Tang; Mayank Agarwal; Alexander Shypula; Bailin Wang; Derry Wijaya; Jie Chen; Yoon Kim (EMNLP (Findings), 2023)

Learning Performance-Improving Code Edits. - Aman Madaan; Alexander Shypula; Uri Alon 002; Milad Hashemi; Parthasarathy Ranganathan; Yiming Yang; Graham Neubig; Amir Yazdanbakhsh (CoRR, 2023)

Learning Performance-Improving Code Edits. - Alexander Shypula; Aman Madaan; Yimeng Zeng; Uri Alon 002; Jacob R. Gardner; Yiming Yang; Milad Hashemi; Graham Neubig; Parthasarathy Ranganathan; Osbert Bastani; Amir Yazdanbakhsh (ICLR, 2024)

LLM Program Optimization via Retrieval Augmented Search. - Sagnik Anupam; Alexander Shypula; Osbert Bastani (CoRR, 2025)

Evaluating the Diversity and Quality of LLM Generated Content. - Alexander Shypula; Shuo Li; Botong Zhang; Vishakh Padmakumar; Kayo Yin; Osbert Bastani (CoRR, 2025)