Natural Language Outlines for Code: Literate Programming in the LLM Era.
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CoRR, 2024
Grounding Data Science Code Generation with Input-Output Specifications.
CoRR, 2024
NExT: Teaching Large Language Models to Reason about Code Execution.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis.
CoRR, 2023
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Can Large Language Models Reason about Program Invariants?
Proceedings of the International Conference on Machine Learning, 2023
Natural Language to Code Generation in Interactive Data Science Notebooks.
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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
TF-Coder: Program Synthesis for Tensor Manipulations.
ACM Trans. Program. Lang. Syst., 2022
A Library for Representing Python Programs as Graphs for Machine Learning.
CoRR, 2022
Compositional Generalization and Decomposition in Neural Program Synthesis.
CoRR, 2022
CrossBeam: Learning to Search in Bottom-Up Program Synthesis.
Proceedings of the Tenth International Conference on Learning Representations, 2022
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration.
Proceedings of the 9th International Conference on Learning Representations, 2021
BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration.
CoRR, 2020
Pre-trained Contextual Embedding of Source Code.
CoRR, 2020
Incremental Sampling Without Replacement for Sequence Models.
Proceedings of the 37th International Conference on Machine Learning, 2020
Learning and Evaluating Contextual Embedding of Source Code.
Proceedings of the 37th International Conference on Machine Learning, 2020
FrAngel: component-based synthesis with control structures.
Proc. ACM Program. Lang., 2019
Spark PRM: Using RRTs within PRMs to efficiently explore narrow passages.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Lazy Toggle PRM: A single-query approach to motion planning.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013