most citedBuilding and better understanding vision-language models: insights and future directions

11 citations · 26 across the 6 of their papers we have counts for

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cs.CL2025

DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture

Arijit Maji, Raghvendra Kumar, Akash Ghosh +6

We introduce DRISHTIKON, a first-of-its-kind multimodal and multilingual benchmark centered exclusively on Indian culture, designed to evaluate the cultural understanding of genera…

cs.CL2025★ 10 cited

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Loubna Ben Allal, Anton Lozhkov, Elie Bakouch +19

While large language models have facilitated breakthroughs in many applications of artificial intelligence, their inherent largeness makes them computationally expensive and challe…