PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair

By Zimin Chen, Vincent J. Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra. 2021

29 citations recorded by the source corpus.

Subfields: Code Generation & Program Synthesis, Program Analysis & Verification

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Code Generation & Program Synthesis

1. Torsten Scholak
2. Rui Zhang
3. Noah A. Smith
4. Michihiro Yasunaga
5. Luke S. Zettlemoyer
6. Ziyu Yao
7. Pengcheng Yin
8. Tao Yu

In Program Analysis & Verification

1. Noah A. Smith
2. Michihiro Yasunaga
3. Luke S. Zettlemoyer

Citations in the corpus

• UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models (2022, methodology): “For sequences that are too long for Codex (4096) and GPT-3 (2048), we use as many examples as possible and make sure that there is at least one example (truncated if needed).”