3 papers
cs.CL2025
mmJEE-Eval: A Bilingual Multimodal Benchmark for Evaluating Scientific Reasoning in Vision-Language Models
Arka Mukherjee, Shreya Ghosh
Contemporary vision-language models (VLMs) perform well on existing multimodal reasoning benchmarks (78-85\% accuracy on MMMU, MathVista). Yet, these results fail to sufficiently d…
cs.CL2025
Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation
Arka Mukherjee, Shreya Ghosh
As Vision-Language Models (VLMs) achieve widespread deployment across diverse cultural contexts, ensuring their cultural competence becomes critical for responsible AI systems. Whi…
cs.LG2025
UNITE-FND: Reframing Multimodal Fake News Detection through Unimodal Scene Translation
Arka Mukherjee, Shreya Ghosh
Multimodal fake news detection typically demands complex architectures and substantial computational resources, posing deployment challenges in real-world settings. We introduce UN…