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cs.CL2025

Protect: Towards Robust Guardrailing Stack for Trustworthy Enterprise LLM Systems

Karthik Avinash, Nikhil Pareek, Rishav Hada

The increasing deployment of Large Language Models (LLMs) across enterprise and mission-critical domains has underscored the urgent need for robust guardrailing systems that ensure…

cs.CL2024

Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology

Rishav Hada, Safiya Husain, Varun Gumma +8

Existing research in measuring and mitigating gender bias predominantly centers on English, overlooking the intricate challenges posed by non-English languages and the Global South…

cs.CL2024

METAL: Towards Multilingual Meta-Evaluation

Rishav Hada, Varun Gumma, Mohamed Ahmed +2

With the rising human-like precision of Large Language Models (LLMs) in numerous tasks, their utilization in a variety of real-world applications is becoming more prevalent. Severa…

cs.CL20242 cited

BEnQA: A Question Answering and Reasoning Benchmark for Bengali and English

Sheikh Shafayat, H M Quamran Hasan, Minhajur Rahman Chowdhury Mahim +3

In this study, we introduce BEnQA, a dataset comprising parallel Bengali and English exam questions for middle and high school levels in Bangladesh. Our dataset consists of approxi…

cs.CL2024

MunTTS: A Text-to-Speech System for Mundari

Varun Gumma, Rishav Hada, Aditya Yadavalli +4

We present MunTTS, an end-to-end text-to-speech (TTS) system specifically for Mundari, a low-resource Indian language of the Austo-Asiatic family. Our work addresses the gap in lin…

cs.CL2023

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma +8

There has been a surge in LLM evaluation research to understand LLM capabilities and limitations. However, much of this research has been confined to English, leaving LLM building…