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Premkumar Devanbu — most-cited papers & profile · AI for Code
← authors
·
overview
Premkumar Devanbu
12
papers ·
417
citations ·
64
h-index
University of California, Davis
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Few-shot training LLMs for project-specific code-summarization
2022 · 214 citations
NatGen: Generative pre-training by "Naturalizing" source code
2022 · 99 citations
Better patching using LLM prompting, via Self-Consistency
2023 · 36 citations
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries
2023 · 28 citations
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
2024 · 14 citations
Patching as Translation: the Data and the Metaphor
2020 · 11 citations
Learning code summarization from a small and local dataset
2022 · 6 citations
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics
2021 · 3 citations
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
2024 · 3 citations
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)
2023 · 2 citations
Calibration of Large Language Models on Code Summarization
2024 · 1 citations
Are My Invariants Valid? A Learning Approach
2019
Top co-authors
Toufique Ahmed
· 9
Baishakhi Ray
· 2
Michael Pradel
· 2
Vincent J. Hellendoorn
· 2
Yangruibo Ding
· 2
Ali Al-Kaswan
· 1
Anand Ashok Sawant
· 1
Arie van Deursen
· 1
Christoph Treude
· 1
Earl T. Barr
· 1
Islem Bouzenia
· 1
Kunal Suresh Pai
· 1
Topics
Software Engineering
Code Models
Code Generation
Program Repair
Code Understanding
Testing
Code Translation
Bug Detection