collaborators

8 papers

cs.CV2025

How Good are Foundation Models in Step-by-Step Embodied Reasoning?

Dinura Dissanayake, Ahmed Heakl, Omkar Thawakar +9

Embodied agents operating in the physical world must make decisions that are not only effective but also safe, spatially coherent, and grounded in context. While recent advances in…

cs.CL2025

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model

Bhuiyan Sanjid Shafique, Ashmal Vayani, Muhammad Maaz +26

Large multimodal models (LMMs) have recently gained attention due to their effectiveness to understand and generate descriptions of visual content. Most existing LMMs are in Englis…

cs.CL2025

Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs

Wafa Alghallabi, Ritesh Thawkar, Sara Ghaboura +5

Arabic poetry is one of the richest and most culturally rooted forms of expression in the Arabic language, known for its layered meanings, stylistic diversity, and deep historical…

cs.CV2025

ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark

Sara Ghaboura, Ketan More, Wafa Alghallabi +5

As Large Multimodal Models (LMMs) become more capable, there is growing interest in evaluating their reasoning processes alongside their final outputs. However, most benchmarks rem…

cs.CV2025

DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding

Ayesha Ishaq, Jean Lahoud, Ketan More +10

While large multimodal models (LMMs) have demonstrated strong performance across various Visual Question Answering (VQA) tasks, certain challenges require complex multi-step reason…

cs.CV2025

Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts

Sara Ghaboura, Ketan More, Ritesh Thawkar +6

Understanding historical and cultural artifacts demands human expertise and advanced computational techniques, yet the process remains complex and time-intensive. While large multi…