David Gros

According to our database, David Gros authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Investigating Autonomous Agent Contributions in the Wild: Activity Patterns and Code Change over Time.

Razvan Mihai Popescu, David Gros, Andrei Botocan, Rahul Pandita, Prem Devanbu, Maliheh Izadi

CoRR, April, 2026

2025

Localized Calibrated Uncertainty in Code Language Models.

David Gros, Prem Devanbu

CoRR, December, 2025

Does In-IDE Calibration of Large Language Models work at Scale?

Roham Koohestani, Agnia Sergeyuk, David Gros, Claudio Spiess, Sergey Titov, Prem Devanbu, Maliheh Izadi

CoRR, October, 2025

"Dialogue" vs "Dialog" in NLP and AI research: Statistics from a Confused Discourse.

David Gros

CoRR, January, 2025

Calibration and Correctness of Language Models for Code.

Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, Toufique Ahmed

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2023

AI Safety Subproblems for Software Engineering Researchers.

David Gros, Prem Devanbu, Zhou Yu

CoRR, 2023

2022

Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog Systems.

David Gros, Yu Li, Zhou Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity.

David Gros, Yu Li, Zhou Yu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Code to Comment "Translation": Data, Metrics, Baselining & Evaluation.

David Gros, Hariharan Sezhiyan, Prem Devanbu, Zhou Yu

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020