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09/21/2023
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
We study the problem of in-context learning (ICL) with large language mo...
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12/20/2022
Privacy-Preserving Domain Adaptation of Semantic Parsers
Task-oriented dialogue systems often assist users with personal or confi...
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06/21/2022
BenchCLAMP: A Benchmark for Evaluating Language Models on Semantic Parsing
We introduce BenchCLAMP, a Benchmark to evaluate Constrained LAnguage Mo...
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05/18/2022
Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation
We introduce a novel setup for low-resource task-oriented semantic parsi...
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12/16/2021
Few-Shot Semantic Parsing with Language Models Trained On Code
Large language models, prompted with in-context examples, can perform se...
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12/10/2021
Pruning Pretrained Encoders with a Multitask Objective
The sizes of pretrained language models make them challenging and expens...
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04/18/2021
Constrained Language Models Yield Few-Shot Semantic Parsers
We explore the use of large pretrained language models as few-shot seman...
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12/29/2019
Hierarchical Variational Imitation Learning of Control Programs
Autonomous agents can learn by imitating teacher demonstrations of the i...
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12/27/2019
Synthetic Datasets for Neural Program Synthesis
The goal of program synthesis is to automatically generate programs in a...
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11/10/2019
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
When translating natural language questions into SQL queries to answer q...
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06/27/2019
Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers
When translating natural language questions into SQL queries to answer q...
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06/26/2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
Program synthesis of general-purpose source code from natural language s...
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04/21/2017
Making Neural Programming Architectures Generalize via Recursion
Empirically, neural networks that attempt to learn programs from data ha...
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11/07/2016
