Prem Devanbu

Prem  Devanbu

University of California, Davis

H-index: 66

North America-United States

About Prem Devanbu

Prem Devanbu, With an exceptional h-index of 66 and a recent h-index of 44 (since 2020), a distinguished researcher at University of California, Davis, specializes in the field of Empirical Software Engineering, "Naturalness" of Software, Software Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automatic semantic augmentation of language model prompts (for code summarization)

Studying LLM Performance on Closed-and Open-source Data

Quality and Trust in LLM-generated Code

Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair

Large language models and simple, stupid bugs

A survey of trojans in neural models of source code: Taxonomy and techniques

AI Safety Subproblems for Software Engineering Researchers

Prem Devanbu Information

University

Position

Distinguished Professor (பேராசிரியர்) .

Citations(all)

20213

Citations(since 2020)

8213

Cited By

15179

hIndex(all)

66

hIndex(since 2020)

44

i10Index(all)

143

i10Index(since 2020)

86

Email

University Profile Page

University of California, Davis

Google Scholar

View Google Scholar Profile

Prem Devanbu Skills & Research Interests

Empirical Software Engineering

"Naturalness" of Software

Software Engineering

Top articles of Prem Devanbu

Title

Journal

Author(s)

Publication Date

Automatic semantic augmentation of language model prompts (for code summarization)

Toufique Ahmed

Kunal Suresh Pai

Premkumar Devanbu

Earl T Barr

2024/3/6

Studying LLM Performance on Closed-and Open-source Data

arXiv preprint arXiv:2402.15100

Toufique Ahmed

Christian Bird

Premkumar Devanbu

Saikat Chakraborty

2024/2/23

Quality and Trust in LLM-generated Code

arXiv preprint arXiv:2402.02047

Claudio Spiess

David Gros

Kunal Suresh Pai

Michael Pradel

Md Rafiqul Islam Rabin

...

2024/2/3

Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores

arXiv preprint arXiv:2404.19318

Yuvraj Virk

Premkumar Devanbu

Toufique Ahmed

2024/4/30

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair

arXiv preprint arXiv:2403.17134

Islem Bouzenia

Premkumar Devanbu

Michael Pradel

2024/3/25

Large language models and simple, stupid bugs

Kevin Jesse

Toufique Ahmed

Premkumar T Devanbu

Emily Morgan

2023/5/15

A survey of trojans in neural models of source code: Taxonomy and techniques

arXiv preprint arXiv:2305.03803

Aftab Hussain

Md Rafiqul Islam Rabin

Toufique Ahmed

Bowen Xu

Prem Devanbu

...

2023/5/5

AI Safety Subproblems for Software Engineering Researchers

arXiv preprint arXiv:2304.14597

David Gros

Prem Devanbu

Zhou Yu

2023/4/28

Extending source code pre-trained language models to summarise decompiled binarie

Ali Al-Kaswan

Toufique Ahmed

Maliheh Izadi

Anand Ashok Sawant

Premkumar Devanbu

...

2023/3/21

Better patching using LLM prompting, via Self-Consistency

Toufique Ahmed

Premkumar Devanbu

2023/9/11

Towards Understanding What Code Language Models Learned

arXiv preprint arXiv:2306.11943

Toufique Ahmed

Dian Yu

Chengxuan Huang

Cathy Wang

Prem Devanbu

...

2023/6/20

FlexType: a plug-and-play framework for type inference models

Sivani Voruganti

Kevin Jesse

Premkumar Devanbu

2022/10/10

Multilingual training for software engineering

Toufique Ahmed

Premkumar Devanbu

2022/5/21

SynShine: Improved Fixing of Syntax Errors

IEEE Transactions on Software Engineering

Toufique Ahmed

Noah Rose Ledesma

Premkumar Devanbu

2022/10/10

Naturalness and Artifice of Code: Exploiting the Bi-Modality

Premkumar Devanbu

2022/2/24

Few-shot training llms for project-specific code-summarization

Toufique Ahmed

Premkumar Devanbu

2022/10/10

Learning code summarization from a small and local dataset

arXiv preprint arXiv:2206.00804

Toufique Ahmed

Premkumar Devanbu

2022/6/2

Learning to predict user-defined types

IEEE Transactions on Software Engineering

Kevin Jesse

Premkumar T Devanbu

Anand Sawant

2022/5/30

Natgen: generative pre-training by “naturalizing” source code

Saikat Chakraborty

Toufique Ahmed

Yangruibo Ding

Premkumar T Devanbu

Baishakhi Ray

2022/11/7

Manytypes4typescript: A comprehensive typescript dataset for sequence-based type inference

Kevin Jesse

Premkumar T Devanbu

2022/5/23

See List of Professors in Prem Devanbu University(University of California, Davis)

Co-Authors

H-index: 65
Harald Gall

Harald Gall

Universität Zürich

H-index: 45
Abram Hindle

Abram Hindle

University of Alberta

H-index: 44
Vladimir Filkov

Vladimir Filkov

University of California, Davis

H-index: 44
Bogdan Vasilescu

Bogdan Vasilescu

Carnegie Mellon University

H-index: 42
Michael Gertz

Michael Gertz

Heidelberg University

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