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Pengcheng Yin — most-cited papers & profile · AI for Code
← authors
·
overview
Pengcheng Yin
28
papers ·
1741
citations ·
25
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Syntactic Neural Model for General-Purpose Code Generation
2017 · 535 citations
DyNet: The Dynamic Neural Network Toolkit
2017 · 345 citations
Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
2018 · 202 citations
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
2018 · 201 citations
PaLM 2 Technical Report
2023 · 163 citations
Retrieval-Based Neural Code Generation
2018 · 91 citations
DIRE: A Neural Approach to Decompiled Identifier Naming
2019 · 82 citations
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
2023 · 28 citations
NExT: Teaching Large Language Models to Reason about Code Execution
2024 · 6 citations
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
2024 · 5 citations
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
2024 · 5 citations
Natural Language to Code Generation in Interactive Data Science Notebooks
2022 · 3 citations
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models
2023 · 3 citations
Natural Language Outlines for Code: Literate Programming in the LLM Era
2024 · 2 citations
Compositional Generalization and Decomposition in Neural Program Synthesis
2022 · 2 citations
Top co-authors
Graham Neubig
· 7
Charles Sutton
· 5
Miltiadis Allamanis
· 4
Ruoxi Sun
· 4
Alex Polozov
· 3
Ansong Ni
· 3
Caiming Xiong
· 3
Manzil Zaheer
· 3
Arman Cohan
· 2
Fangyu Lei
· 2
Hanjun Dai
· 2
Henryk Michalewski
· 2
Topics
Code Generation
Code Models
Software Engineering
Code Understanding
Code Translation
Program Repair
Survey Paper
Bug Detection
Testing
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