research
∙
05/28/2022
Learning from Self-Sampled Correct and Partially-Correct Programs
Program synthesis aims to generate executable programs that are consiste...
share
research
∙
04/05/2022
PaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance ...
research
∙
01/26/2022
Synchromesh: Reliable code generation from pre-trained language models
Large pre-trained language models have been used to generate code,provid...
research
∙
06/22/2021
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
The goal of database question answering is to enable natural language qu...
research
∙
10/24/2020
Structure-Grounded Pretraining for Text-to-SQL
Learning to capture text-table alignment is essential for table related ...
research
∙
06/20/2020
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"
Visual reasoning tasks such as visual question answering (VQA) require a...
research
∙
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...
research
∙
06/26/2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
Program synthesis of general-purpose source code from natural language s...
research
∙
03/14/2019
Are My Invariants Valid? A Learning Approach
Ensuring that a program operates correctly is a difficult task in large,...
research
∙
09/13/2018
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles
We present a sequence-to-action parsing approach for the natural languag...
research
∙
07/09/2018
Robust Text-to-SQL Generation with Execution-Guided Decoding
We consider the problem of neural semantic parsing, which translates nat...
research
∙
05/22/2018
Generative Code Modeling with Graphs
Generative models for source code are an interesting structured predicti...
research
∙
04/03/2018
