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Lab Members
PI
Paola
Cascante-Bonilla
Principal Investigaror
GA
Jeffri
Murrugarra-Llerena
Ph.D. Student

Research Topics

dialpad   Vision and Language & Multi-modal learning:
Zero/few-shot learning, representation learning, continual learning.
Visual-question answering, crossmodal retrieval, multi-hop reasoning.

directions_run   Synthetic data generation for compositionality and privacy protection:
Simulated environments to provide a safe, controlled setting where agents can learn.
Virtual playgrounds that allow systems to experience and interact within the 3D space.

high_quality   Dynamic evaluations and real-world applications:
Data distribution and mitigation of spurious correlations.
Assessing the performance and effectiveness of models under varying conditions.
             Research Image
News
02/2025. New pre-print on Video-Language Alignment via Hallucination Correction
01/2025. CECE is accepted to #ICLR2025!
09/2024. One paper accepted to #EMNLP2024 (Findings)!


Preprints
Can Hallucination Correction Improve Video-Language Alignment?
Lingjun Zhao, Mingyang Xie, Paola Cascante-Bonilla, Hal Daumé III, Kwonjoon Lee.
February 2025.
[bibtex]

Publications
Natural Language Inference Improves Compositionality in Vision-Language Models.
Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao, Hal Daumé III, Rachel Rudinger.
The Thirteenth International Conference on Learning Representations. ICLR 2025.
Singapore. April 2025.
[project page] [bibtex]