About Me

I am a research scientist at Google DeepMind, working on Gemini Code. I completed my PhD in Computer Science at The University of Texas at Austin in 2022. I was advised by Prof. Raymond Mooney and Prof. Junyi Jessy Li. My research lies at the intersection of Machine Learning, Natural Language Processing, and Software Engineering. I am a recipient of the 2020-2021 Bloomberg Data Science Ph.D. Fellowship. I completed my B.S. in Computer Science at the University of Illinois at Urbana-Champaign in 2016. My CV can be found here.

Publications

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness
Miltiadis Allamanis, Sheena Panthaplackel, Pengcheng Yin
International Conference on Machine Learning (ICML), 2024

Using Developer Discussions to Guide Fixing Bugs in Software
[Data, Slides]
Sheena Panthaplackel, Milos Gligoric, Junyi Jessy Li, and Raymond J. Mooney
Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022

Facilitating Software Evolution through Natural Language Comments and Dialogue
[Slides]
Sheena Panthaplackel
PhD Thesis, 2022

CoditT5: Pretraining for Source Code and Natural Language Editing
Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Jessy Li, and Milos Gligoric
International Conference on Automated Software Engineering (ASE), 2022

Updated Headline Generation: Creating Updated Summaries for Evolving News Stories
[Data, Slides, Poster]
Sheena Panthaplackel, Adrian Benton, and Mark Dredze
Association for Computational Linguistics (ACL), 2022

Learning to Describe Solutions for Bug Reports Based on Developer Discussions
[Code/Data, Slides, Poster]
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, and Raymond J. Mooney
Findings of Association for Computational Linguistics (ACL), 2022

Deep Just-In-Time Inconsistency Detection Between Comments and Source Code
[Code/Data, Slides, Poster]
Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, and Raymond J. Mooney
The AAAI Conference on Artificial Intelligence (AAAI), 2021

Copy That! Editing Sequences by Copying Spans
Sheena Panthaplackel, Miltiadis Allamanis, and Marc Brockschmidt
The AAAI Conference on Artificial Intelligence (AAAI), 2021

Leveraging Class Hierarchy for Code Comprehension
Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Jessy Li, and Raymond J. Mooney, Milos Gligoric
NeurIPS Workshop on Computer-Assisted Programming, 2020

Learning to Update Natural Language Comments Based on Code Changes
[Code/Data, Video]
Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li, and Raymond J. Mooney
Association for Computational Linguistics (ACL), 2020

Associating Natural Language Comment and Source Code Entities
[arXiv, Code/Data, Slides, Poster]
Sheena Panthaplackel, Milos Gligoric, Raymond J. Mooney, and Junyi Jessy Li
The AAAI Conference on Artificial Intelligence (AAAI), 2020