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Fri 13 Nov 2020 01:32 - 01:34 at Virtual room 2 - SAT and Synthesis

Natural Language (NL) programming automatically synthesizes code based on inputs expressed in natural language. It has recently received lots of growing interest. Recent solutions however all require many labeled training examples for their data-driven nature. This paper proposes an NLU-driven approach, a new approach inspired by how humans learn programming. It centers around Natural Language Understanding and draws on a novel graph-based mapping algorithm, foregoing the need of large numbers of labeled examples. The resulting NL programming framework, HISyn, using no training examples, gives synthesis accuracy comparable to those by data-driven methods trained on hundreds of training numbers. HISyn meanwhile demonstrates advantages in interpretability, error diagnosis support, and cross-domain extensibility.

Fri 13 Nov

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01:30 - 02:00
01:30
2m
Talk
AlloyMC: Alloy Meets Model Counting
Tool Demos
Jiayi Yang University of Texas at Austin, USA, Wenxi Wang University of Texas at Austin, USA, Darko Marinov University of Illinois at Urbana-Champaign, Sarfraz Khurshid University of Texas at Austin
DOI
01:32
2m
Talk
HISyn: Human Learning-Inspired Natural Language Programming
Research Papers
Zifan Nan North Carolina State University, USA, Hui Guan North Carolina State University, USA, Xipeng Shen North Carolina State University, USA
DOI
01:35
1m
Talk
Inductive Program Synthesis over Noisy Data
Research Papers
Shivam Handa Massachusetts Institute of Technology, USA, Martin C. Rinard Massachusetts Institute of Technology, USA
DOI
01:37
1m
Talk
MCBAT: A Practical Tool for Model Counting Constraints on Bounded Integer Arrays
Tool Demos
Abtin Molavi Harvey Mudd College, USA, Mara Downing Harvey Mudd College, USA, Tommy Schneider Harvey Mudd College, USA, Lucas Bang Harvey Mudd College
DOI
01:39
1m
Talk
SVMRanker: A General Termination Analysis Framework of Loop Programs via SVM
Tool Demos
Xie Li , Yi Li Nanyang Technological University, Yong Li Institute of Software, Chinese Academy of Sciences, Xuechao Sun Institute of Software at Chinese Academy of Sciences, China, Andrea Turrini State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Lijun Zhang Institute of Software, Chinese Academy of Sciences
DOI
01:41
19m
Talk
Conversations on SAT and Synthesis
Paper Presentations
Abtin Molavi Harvey Mudd College, USA, Jiayi Yang University of Texas at Austin, USA, Lucas Bang Harvey Mudd College, Xie Li , Zifan Nan North Carolina State University, USA, Shivam Handa Massachusetts Institute of Technology, USA, M: Abhik Roychoudhury National University of Singapore, Singapore