Ray, Baishakhi

13 publications

ICLR 2026 CodeSense: A Real-World Benchmark and Dataset for Code Semantic Reasoning Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail Kaiser, Baishakhi Ray, Wei Le

ICLR 2026 From Assistant to Independent Developer — Are GPTs Ready for Software Development? Dezhi Ran, Yuan Cao, Mengzhou Wu, Simin Chen, Yuzhe Guo, Jun Ren, Zihe Song, Hao Yu, Jialei Wei, Linyi Li, Wei Yang, Baishakhi Ray, Tao Xie

NeurIPS 2025 CodeAssistBench (CAB): Dataset & Benchmarking for Multi-Turn Chat-Based Code Assistance Myeongsoo Kim, Shweta Garg, Baishakhi Ray, Varun Kumar, Anoop Deoras

ICML 2025 DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination Simin Chen, Pranav Pusarla, Baishakhi Ray

ICML 2025 EditLord: Learning Code Transformation Rules for Code Editing Weichen Li, Albert Jan, Baishakhi Ray, Junfeng Yang, Chengzhi Mao, Kexin Pei

ICLR 2024 Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail Kaiser, Suman Jana, Baishakhi Ray

NeurIPS 2024 LeDex: Training LLMs to Better Self-Debug and Explain Code Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras

NeurIPS 2024 SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail Kaiser, Junfeng Yang, Baishakhi Ray

NeurIPS 2024 kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivančić, Junfeng Yang, Baishakhi Ray

CoRL 2023 Language-Guided Traffic Simulation via Scene-Level Diffusion Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray

ICLR 2023 Multi-Lingual Evaluation of Code Generation Models Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

ECCV 2020 Multitask Learning Strengthens Adversarial Robustness Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick

NeurIPS 2019 Metric Learning for Adversarial Robustness Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray