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20242026
most citedA Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

222 citations · 238 across the 17 of their papers we have counts for

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5 papers · 1 filter

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.CV2025

Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin Tone

Shaivi Malik, Hasnat Md Abdullah, Sriparna Saha +1

As Vision Language Models (VLMs) become integral to real-world applications, understanding their demographic biases is critical. We introduce GRAS, a benchmark for uncovering demog…

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…

cs.CL2025

A Survey of Multilingual Reasoning in Language Models

Akash Ghosh, Debayan Datta, Sriparna Saha +1

While reasoning and multilingual capabilities in language models (LMs) have achieved remarkable progress in recent years, their integration into a unified paradigm - multilingual r…