activity
20242026
collaborators

8 papers

cs.AI2026

Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws

Azmine Toushik Wasi, Mst Rafia Islam, Mahfuz Ahmed Anik +3

As Artificial Intelligence (AI) systems become deeply integrated into critical global infrastructure, the urgency for robust governance frameworks has intensified. However, current…

cs.CV2026

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions

Sarthak Kumar Maharana, Shambhavi Mishra, Yunbei Zhang +6

Deep neural nets achieve remarkable performance when training and test data share the same distribution, but this assumption frequently breaks in real-world deployment, where data…

cs.LG2026

CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions

Azmine Toushik Wasi, Taki Hasan Rafi, Raima Islam +2

Examining Drug-Drug Interactions (DDIs) is a pivotal element in the process of drug development. DDIs occur when one drug's properties are affected by the inclusion of other drugs.…

cs.CV2025

MVTamperBench: Evaluating Robustness of Vision-Language Models

Amit Agarwal, Srikant Panda, Angeline Charles +8

Multimodal Large Language Models (MLLMs), are recent advancement of Vision-Language Models (VLMs) that have driven major advances in video understanding. However, their vulnerabili…

cs.CL2025

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use

Hitesh Laxmichand Patel, Amit Agarwal, Arion Das +6

Enterprise customers are increasingly adopting Large Language Models (LLMs) for critical communication tasks, such as drafting emails, crafting sales pitches, and composing casual…

cs.CV2025

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia

Samuel Cahyawijaya, Holy Lovenia, Joel Ruben Antony Moniz +89

Southeast Asia (SEA) is a region of extraordinary linguistic and cultural diversity, yet it remains significantly underrepresented in vision-language (VL) research. This often resu…