3 papers
cs.AI2026
DocHRL: A Hierarchical Reinforcement Learning Framework for Cost-Optimised Document Classification
Mohammed Yousif, Prabhjot Singh, Arjun Pankajakshan +1
Real-world document classification pipelines typically apply the same sequence of models to every incoming document, regardless of its complexity or type. This leads to inefficient…
cs.CL2026
Beyond 'One Language, One Script': Quantifying Orthographic Bias in Multilingual VLMs with PuMVR
Prabhjot Singh, Bhushan Pawar, Madhu Reddiboina
Current Vision-Language Models (VLMs) are celebrated for their multilingual capabilities, yet they operate under a flawed assumption: that one language corresponds to a single writ…
cs.CV2026
Not Truly Multilingual: Script Consistency as a Missing Dimension in VLM Evaluation
Prabhjot Singh, Bhushan Pawar, Madhu Reddiboina +1
Current multilingual evaluations for Vision-Language Models (VLMs) assume a one-to-one mapping between language and orthography, overlooking billions of users of multi-script langu…