List of Accepted Papers

Symmetry-Preserving Program Representations for Learning Code Semantics Kexin Pei, Weichen Li, Qirui Jin, Shuyang Liu, Scott Geng, Lorenzo Cavallaro, Junfeng Yang, Suman Jana

Large Language Models Should Ask Clarifying Questions to Increase Confidence in Generated Code Jie JW Wu

Predicting the Success of x86-64 Binary Rewriters Akshay Sood, Keara Hill, Kimble Houck, Jonathan Dorn, Zak Fry

Do Code Generation Models Think Like Us? An Empirical Study on Attention Alignment between Large Language Models and Human Programmers Bonan Kou, Shengmai Chen, Zhijie Wang, Lei Ma, Tianyi Zhang

Efficient Composition of Data Management and Machine Learning Systems via Common Intermediate Layers Supun Madusha Bandara Abeysinghe Tennakoon Mudiyanselage, Fei Wang, Gregory Essertel, Tiark Rompf

An Empirical Study of Code Generation Errors made by Large Language Models Da Song, Zijie Zhou, Zhijie Wang, Yuheng Huang, Shengmai Chen, Bonan Kou, Lei Ma, Tianyi Zhang

InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao

A Preliminary Evaluation of LLM-Based Fault Localization Sungmin Kang, Gabin An, Shin Yoo