Papers

Spotlight Papers

• Learning to Superoptimize Real-World Programs Alexander G Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward Schwartz, Graham Neubig Best Paper

• NS3: Neuro-Symbolic Semantic Code Search Shushan Arakelyan, Anna Hakhverdyan, Miltiadis Allamanis, Christophe Hauser, Luis Antonio Garcia, Xiang Ren

• CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code Nadezhda Chirkova, Sergey Troshin

Accepted Papers

• Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar Yaojie Hu, Xingjian Shi, Qiang Zhou, Lee Pike

• Scotch: A Semantic Code Search Engine for IDEs Samip Dahal, Adyasha Maharana, Mohit Bansal

• Learning to Walk over Relational Graphs of Source Code Pardis Pashakhanloo, Aaditya Naik, Hanjun Dai, Petros Maniatis, Mayur Naik

• Generating Programming Puzzles to Train Language Models Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai

• Neural Instruction Combiner Sandya Mannarswamy, Dibyendu Das

• On-the-fly Discovery of Local Bugs using Inconsistency Analysis Srinivasan H. Sengamedu, Qiang Zhou, Hangqi Zhao

• COBRA: Enhancing DNN Latency Prediction with Language Models trained on Source Code Robin Zbinden, Lukas Mauch, Fabien Cardinaux

• Code Editing from Few Exemplars by Adaptive Multi-Extent Composition Peizhao Li, Xuchao Zhang, Ziyu Yao, Wei Cheng, Haifeng Chen, Hongfu Liu

• A Systematic Evaluation of Large Language Models of Code Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn

• Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber, Rishab Goel, Dan Zheng, Hugo Larochelle, Daniel Tarlow

• Show Your Work: Scratchpads for Intermediate Computation with Language Models Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena

• ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

• Compositional Generalization and Decomposition in Neural Program Synthesis Kensen Shi, Joey Hong, Manzil Zaheer, Pengcheng Yin, Charles Sutton

• Patch Generation with Language Models: Feasibility and Scaling Behavior Sophia D Kolak, Ruben Martins, Claire Le Goues, Vincent Josua Hellendoorn

• Code Summarization: Do Transformers Really Understand Code? Ankita Nandkishor Sontakke, Manasi Patwardhan, Lovekesh Vig, Raveendra Kumar Medicherla, Ravindra Naik, Gautam Shroff