David Bieber
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Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
Rishab Goel
International Conference on Learning Representations (ICLR) (2023)
Graph Representations of Python Programs via Source-level Static Analysis
Daniel Johnson
Vincent Josua Hellendoorn
Arxiv (2022)
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Guy Gur-Ari
Henryk Witold Michalewski
David Martin Dohan
Aitor Lewkowycz
Maarten Paul Bosma
David Luan
Augustus Odena
(2021)
Learning Semantic Representations to Verify Hardware Designs
Shobha Vasudevan
Rishabh Singh
Hamid Shojaei
Richard Ho
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) (2021)
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
Augustus Odena
Rishabh Singh
Hanjun Dai
International Conference on Learning Representations (ICLR) (2021)
Incremental Sampling Without Replacement for Sequence Models
Proceedings of the 37th International Conference on Machine Learning (2020)
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
Thirty-fourth Conference on Neural Information Processing Systems (2020)
Global Relational Models of Source Code
Vincent Josua Hellendoorn
Rishabh Singh
International Conference on Learning Representations (ICLR) (2020)
