activity
20172026
most citedProgram Synthesis using Abstraction Refinement

18 citations · 34 across the 12 of their papers we have counts for

collaborators

12 papers

cs.PL2026

Presynthesis: Towards Scaling Up Program Synthesis with Finer-Grained Abstract Semantics

Rui Dong, Qingyue Wu, Danny Ding +3

Abstract semantics has proven to be instrumental for accelerating search-based program synthesis, by enabling the sound pruning of a set of incorrect programs (without enumerating…

cs.HC2023★ 5 cited

DiLogics: Creating Web Automation Programs With Diverse Logics

Kevin Pu, Jim Yang, Angel Yuan +5

Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders. Web automation increases productivity, but translating tasks to web…

cs.SE2023★ 1 cited

New Interaction Paradigm for Complex EDA Software Leveraging GPT

Xinyu Wang, Boyu Han, Zhenghan Tai +4

Electronic Design Automation (EDA) tools such as KiCad offer powerful functionalities but remain difficult to use, particularly for beginners, due to their steep learning curves an…

cs.PL2022★ 1 cited

WebRobot: Web Robotic Process Automation using Interactive Programming-by-Demonstration

Rui Dong, Zhicheng Huang, Ian Iong Lam +2

It is imperative to democratize robotic process automation (RPA), as RPA has become a main driver of the digital transformation but is still technically very demanding to construct…

cs.PL2021★ 1 cited

Web Question Answering with Neurosymbolic Program Synthesis

Qiaochu Chen, Aaron Lamoreaux, Xinyu Wang +3

In this paper, we propose a new technique based on program synthesis for extracting information from webpages. Given a natural language query and a few labeled webpages, our method…

cs.CL2019★ 3 cited

Sketch-Driven Regular Expression Generation from Natural Language and Examples

Xi Ye, Qiaochu Chen, Xinyu Wang +2

Recent systems for converting natural language descriptions into regular expressions (regexes) have achieved some success, but typically deal with short, formulaic text and can onl…