3 papers
cs.CL2025
Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalities
Rajvee Sheth, Samridhi Raj Sinha, Mahavir Patil +2
Amidst the rapid advances of large language models (LLMs), most LLMs still struggle with mixed-language inputs, limited Codeswitching (CSW) datasets, and evaluation biases, which h…
cs.CL2025
Eka-Eval: An Evaluation Framework for Low-Resource Multilingual Large Language Models
Samridhi Raj Sinha, Rajvee Sheth, Abhishek Upperwal +1
The rapid evolution of Large Language Models' has underscored the need for evaluation frameworks that are globally applicable, flexible, and modular, and that support a wide range…
cs.CL2025
COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing
Rajvee Sheth, Himanshu Beniwal, Mayank Singh
We introduce COMI-LINGUA, the largest manually annotated Hindi-English code-mixed dataset, comprising 125K+ high-quality instances across five core NLP tasks: Matrix Language Ident…