Scholar
Mustafa Omer Gul
Google Scholar ID: B_drSEgAAAAJ
PhD Candidate, Cornell University
Citations & Impact
Citations
258
H-index
5
i10-index
3
Publications
7
Co-authors
0
Publications
Resume
Academic Achievements
- Published several papers, including:
- - 'Retrospective Learning from Interactions' accepted at ACL 2025 (Oral)
- - 'CoGen: Learning from Feedback with Coupled Comprehension and Generation', Best Paper Award at EMNLP 2024
- - 'CB2: Collaborative Natural Language Interaction Research Platform', Outstanding demo paper at ACL 2023
- - 'Crepe: Can Vision-Language Foundation Models Reason Compositionally?', Highlight at CVPR 2023
- - 'Measuring Compositional Consistency for Video Question Answering', CVPR 2022
Research Experience
- Works as a PhD student at Cornell University, focusing on research in the field of artificial intelligence.
Education
- PhD student in Computer Science at Cornell University, advised by Professors Claire Cardie and Tanya Goyal; Bachelor's (2021) and Master's (2021) in Computer Science from Stanford University, mentored by Ranjay Krishna and worked with Profs. Fei-Fei Li, Michael Bernstein, and Maneesh Agrawala.
Background
- Interested in building models that can understand and faithfully communicate the limitations of their knowledge and capabilities, and use this understanding to effectively collaborate with other models/humans and guide future learning. Also has longstanding interests in compositional reasoning, multimodality, and pragmatics.
Miscellany
- Enjoys reading poetry books or watching movies in his free time. Was heavily involved with theater for much of his life.