5 papers
On the Cultural Anachronism and Temporal Reasoning in Vision Language Models
Mukul Ranjan, Prince Jha, Khushboo Kumari +1
Vision-Language Models (VLMs) are increasingly applied to cultural heritage materials, from digital archives to educational platforms. This work identifies a fundamental issue in h…
Time Blindness: Why Video-Language Models Can't See What Humans Can?
Ujjwal Upadhyay, Mukul Ranjan, Zhiqiang Shen +1
Recent advances in vision-language models (VLMs) have made impressive strides in understanding spatio-temporal relationships in videos. However, when spatial information is obscure…
Attention Is All You Need for KV Cache in Diffusion LLMs
Quan Nguyen-Tri, Mukul Ranjan, Zhiqiang Shen
This work studies how to adaptively recompute key-value (KV) caches for diffusion large language models (DLMs) to maximize prediction accuracy while minimizing decoding latency. Pr…
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding
Ahmed Heakl, Abdullah Sohail, Mukul Ranjan +7
With the growing adoption of Retrieval-Augmented Generation (RAG) in document processing, robust text recognition has become increasingly critical for knowledge extraction. While O…
Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark
Sondos Mahmoud Bsharat, Mukul Ranjan, Aidar Myrzakhan +6
Rapid advancements in large language models (LLMs) have increased interest in deploying them on mobile devices for on-device AI applications. Mobile users interact differently with…