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cs.CL2026

VIRAASAT: Traversing Novel Paths for Indian Cultural Reasoning

Harshul Raj Surana, Arijit Maji, Aryan Vats +3

Large Language Models (LLMs) have made significant progress in reasoning tasks across various domains such as mathematics and coding. However, their performance deteriorates in tas…

cs.CL2025

CLINIC: Evaluating Multilingual Trustworthiness in Language Models for Healthcare

Akash Ghosh, Srivarshinee Sridhar, Raghav Kaushik Ravi +3

Integrating language models (LMs) in healthcare systems holds great promise for improving medical workflows and decision-making. However, a critical barrier to their real-world ado…

cs.CL2025

Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports

Punit Kumar Singh, Nishant Kumar, Akash Ghosh +9

Language Models (LMs) are primarily evaluated on globally popular sports, often overlooking regional and indigenous sporting traditions. To address this gap, we introduce \textbf{\…

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

Infogen: Generating Complex Statistical Infographics from Documents

Akash Ghosh, Aparna Garimella, Pritika Ramu +2

Statistical infographics are powerful tools that simplify complex data into visually engaging and easy-to-understand formats. Despite advancements in AI, particularly with LLMs, ex…

cs.CL2025

Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples

Soumya Suvra Ghosal, Vaibhav Singh, Akash Ghosh +4

Reward models are essential for aligning large language models (LLMs) with human preferences. However, most open-source multilingual reward models are primarily trained on preferen…