2 citations · 2 across the 7 of their papers we have counts for
7 papers
NEST: Narrative Event Structures in Time for Long Video Understanding
Ali Asgarov, Kaushik Narasimhan, Najibul Haque Sarker +6
Recent progress in vision-language models has enabled processing of increasingly long video sequences, but handling extended token streams does not translate to understanding compl…
Designing Multi-Robot Ground Video Sensemaking with Public Safety Professionals
Puqi Zhou, Ali Asgarov, Aafiya Hussain +9
Videos from fleets of ground robots can advance public safety by providing scalable situational awareness and reducing professionals' burden. Yet little is known about how to desig…
SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning
Ali Asgarov, Umid Suleymanov, Aadyant Khatri
Solving mathematical reasoning problems requires not only accurate access to relevant knowledge but also careful, multi-step thinking. However, current retrieval-augmented models o…
Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models
Md. Atabuzzaman, Ali Asgarov, Chris Thomas
Large Vision-Language Models (LVLMs) have achieved strong performance on vision-language tasks, particularly Visual Question Answering (VQA). While prior work has explored unimodal…
ENTER: Event Based Interpretable Reasoning for VideoQA
Hammad Ayyubi, Junzhang Liu, Ali Asgarov +10
In this paper, we present ENTER, an interpretable Video Question Answering (VideoQA) system based on event graphs. Event graphs convert videos into graphical representations, where…
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval Task
Ali Asgarov, Samir Rustamov
This research explores the development of multimodal vision-language models for image retrieval in low-resource languages, specifically Azerbaijani. Existing vision-language models…
Predicting Financial Market Trends using Time Series Analysis and Natural Language Processing
Ali Asgarov
Forecasting financial market trends through time series analysis and natural language processing poses a complex and demanding undertaking, owing to the numerous variables that can…