Sen, Koushik

13 publications

ICLR 2026 GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning Lakshya A Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alex Dimakis, Ion Stoica, Dan Klein, Matei Zaharia, Omar Khattab

NeurIPS 2025 GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents Manish Shetty, Naman Jain, Jinjian Liu, Vijay Kethanaboyina, Koushik Sen, Ion Stoica

ICLR 2025 LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Naman Jain, King Han, Alex Gu, Wen-Ding Li, Fanjia Yan, Tianjun Zhang, Sida Wang, Armando Solar-Lezama, Koushik Sen, Ion Stoica

ICML 2025 Position: Future Research and Challenges Remain Towards AI for Software Engineering Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama

ICLRW 2025 Tasks, Challenges, and Paths Towards AI for Software Engineering Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama

ICLRW 2025 Tasks, Challenges, and Paths Towards AI for Software Engineering Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Yijia Shao, Ziyang Li, Diyi Yang, Koushik Sen, Kevin Ellis, Armando Solar-Lezama

ICLRW 2025 Type-Constrained Code Generation with Language Models Niels Mündler, Jingxuan He, Hao Wang, Koushik Sen, Dawn Song, Martin Vechev

ICLR 2024 LLM-Assisted Code Cleaning for Training Accurate Code Generators Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica

ICML 2024 R2E: Turning Any GitHub Repository into a Programming Agent Environment Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica

ICLRW 2024 R2E: Turning Any GitHub Repository into a Programming Agent Environment Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica

NeurIPSW 2023 Improving Code Style for Accurate Code Generation Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica

UAI 2022 Efficient and Transferable Adversarial Examples from Bayesian Neural Networks Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen

ECCV 2022 LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen