Atrey Desai
Undergraduate Student in Computer Science and Linguistics at University of Maryland, College Park.

Email: adesai10 [at] umd [dot] edu
Hi there 👋! I’m a third-year undergraduate student double majoring in Computer Science and Linguistics with a minor Korean Studies at the University of Maryland. I am fortunate to be advised by Professor Rachel Rudinger and Professor Jordan Boyd-Graber.
I’m a member of the Computational Linguistics and Information Processing (CLIP) lab in UMIACS.
My research interests lie in natural language processing, particularly in commonsense reasoning in LLMs and creating new evaluation methods to assess robustness in language and multimodal tasks.
I am a member of the technical staff of Learn Prompting, where I work on HackAPrompt, the world’s largest red-teaming hackathon, and research on creating trustworhy and robust AI safety judges.
I also am concurrently a visiting researcher under Professor Kenny Zhu at the Arlington Computational Linguistics Lab (ACL2) at the University of Texas at Arlington identifying structural similarities to human language and contextual semantics within animal vocalizations to gain insights about the language of animal species. In the future, we hope to create an end-to-end machine translation pipeline for animal vocalizations. This work is graciously supported by the NSF.
I previously worked under Professor Michael Littman at the Reinforcement Learning & Adaptive Behavior (RLAB) group at Brown University on applications of reinforcement learning to 2D non-sequential tasks. We published our findings at AAAI-22 IMLW and RLDM-22.
In my freetime, I enjoy photography, reading, and exploring the city with friends!
news
Apr 28, 2025 | I am grateful to have been selected for the 2025 SPIRE Research Grant. |
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Apr 05, 2025 | “Language Models Generate Multiple-Choice Questions with Artifacts” accepted at MASC-SLL 2025. See you at Penn State! |
Mar 15, 2024 | I will be joining Arlington Computational Linguistics Lab as a visiting researcher over the summer working with Kenny Q. Zhu, Sinong Wang, and Tuan Dang! |
Dec 07, 2019 | Extended Abstract “Reinforcement Learning As End-User Trigger-Action Programming” accepted at IMLW@AAAI-22 |