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07/26/2023
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
When writing programs, people have the ability to tackle a new complex t...
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12/19/2022
Natural Language to Code Generation in Interactive Data Science Notebooks
Computational notebooks, such as Jupyter notebooks, are interactive comp...
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04/07/2022
Compositional Generalization and Decomposition in Neural Program Synthesis
When writing programs, people have the ability to tackle a new complex t...
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04/05/2022
PaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance ...
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10/15/2021
On The Ingredients of an Effective Zero-shot Semantic Parser
Semantic parsers map natural language utterances into meaning representa...
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09/28/2021
Learning to Superoptimize Real-world Programs
Program optimization is the process of modifying software to execute mor...
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09/16/2021
Hierarchical Control of Situated Agents through Natural Language
When humans conceive how to perform a particular task, they do so hierar...
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01/28/2021
Learning Structural Edits via Incremental Tree Transformations
While most neural generative models generate outputs in a single pass, t...
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05/17/2020
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
Recent years have witnessed the burgeoning of pretrained language models...
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04/20/2020
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
Open-domain code generation aims to generate code in a general-purpose p...
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11/29/2019
Merging Weak and Active Supervision for Semantic Parsing
A semantic parser maps natural language commands (NLs) from the users to...
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09/19/2019
DIRE: A Neural Approach to Decompiled Identifier Naming
The decompiler is one of the most common tools for examining binaries wi...
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05/31/2019
Improving Open Information Extraction via Iterative Rank-Aware Learning
Open information extraction (IE) is the task of extracting open-domain a...
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05/28/2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
We investigate the relationship between the frequency spectrum of image ...
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10/31/2018
Learning to Represent Edits
We introduce the problem of learning distributed representations of edit...
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10/05/2018
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
We present TRANX, a transition-based neural semantic parser that maps na...
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08/29/2018
Retrieval-Based Neural Code Generation
In models to generate program source code from natural language, represe...
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08/28/2018
A Tree-based Decoder for Neural Machine Translation
Recent advances in Neural Machine Translation (NMT) show that adding syn...
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06/20/2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Semantic parsing is the task of transducing natural language (NL) uttera...
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05/23/2018
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
For tasks like code synthesis from natural language, code retrieval, and...
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05/19/2017
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML
Reward augmented maximum likelihood (RAML), a simple and effective learn...
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04/06/2017
A Syntactic Neural Model for General-Purpose Code Generation
We consider the problem of parsing natural language descriptions into so...
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01/15/2017
DyNet: The Dynamic Neural Network Toolkit
We describe DyNet, a toolkit for implementing neural network models base...
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12/03/2015
