1 citations · 1 across the 4 of their papers we have counts for
4 papers
Indexing Multimodal Language Models for Large-scale Image Retrieval
Bahey Tharwat, Giorgos Kordopatis-Zilos, Pavel Suma +2
Multimodal Large Language Models (MLLMs) have demonstrated strong cross-modal reasoning capabilities, yet their potential for vision-only tasks remains underexplored. We investigat…
Latent Action Pretraining Through World Modeling
Bahey Tharwat, Yara Nasser, Ali Abouzeid +1
Vision-Language-Action (VLA) models have gained popularity for learning robotic manipulation tasks that follow language instructions. State-of-the-art VLAs, such as OpenVLA and $π_…
Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models
Malak Mansour, Ahmed Aly, Bahey Tharwat +3
Large Language Models (LLMs) such as GPT-4, trained on huge amount of datasets spanning multiple domains, exhibit significant reasoning, understanding, and planning capabilities ac…
Engineering flexible machine learning systems by traversing functionally-invariant paths
Guruprasad Raghavan, Bahey Tharwat, Surya Narayanan Hari +2
Transformers have emerged as the state of the art neural network architecture for natural language processing and computer vision. In the foundation model paradigm, large transform…