192 citations · 845 across the 41 of their papers we have counts for
4 papers · 1 filter
Explaining Competitive-Level Programming Solutions using LLMs
Jierui Li, Szymon Tworkowski, Yingying Wu +1
In this paper, we approach competitive-level programming problem-solving as a composite task of reasoning and code generation. We propose a novel method to automatically annotate n…
Text-to-SQL Error Correction with Language Models of Code
Ziru Chen, Shijie Chen, Michael White +5
Despite recent progress in text-to-SQL parsing, current semantic parsers are still not accurate enough for practical use. In this paper, we investigate how to build automatic text-…
Learning Deep Semantics for Test Completion
Pengyu Nie, Rahul Banerjee, Junyi Jessy Li +2
Writing tests is a time-consuming yet essential task during software development. We propose to leverage recent advances in deep learning for text and code generation to assist dev…
Language-guided Task Adaptation for Imitation Learning
Prasoon Goyal, Raymond J. Mooney, Scott Niekum
We introduce a novel setting, wherein an agent needs to learn a task from a demonstration of a related task with the difference between the tasks communicated in natural language.…