Ghazal Khalighinejad
About Me
I am a PhD candidate in the Department of Computer Science at Duke University, fortunate to be advised by Prof. Bhuwan Dhingra. My research centers on two primary areas:
- algorithmic reasoning, particularly understanding language models’ ability to learn and execute algorithms.
- leveraging LLMs for science; a significant portion of my recent work involves extracting structured information from materials science literature.
Previously, I was an undergrad at Sharif University of Technology, advised by Prof. Vincent Jugé. My research focused on sorting algorithms.
News
- Spring 2024: Our paper PNCExtract got accepted into Findings of ACL 2024.
- Spring 2024: We introduce IsoBench, a benchmark for multimodal models with isomorphic inputs.
- Fall 2023: Our paper Approximating CKY with Transformers got accepted into Findings of EMNLP 2023.
- Summer 2023: Got a full-tuition scholarship and funding from AI for Understanding and Designing Materials program for research in the intersection of NLP and Materials Science.
- Fall 2022: Attended NeurIPS 2022 in New Orleans.
- Spring 2022: My undergrad research Paper got accepted to ICALP 2022.
- Fall 2021: Started PhD at Duke.
Selected Publications
-
ACL
Findings of the Association for Computational Linguistics (ACL), 2024. -
EMNLP
Findings of the Association for Computational Linguistics (EMNLP), 2023. -
ICALP
International Colloquium on Automata, Languages, and Programming (ICALP), 2022.
Preprint
Services
Conference Reviewers: ACL Rolling Review
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