most citedFairness in Language Models Beyond English: Gaps and Challenges

4 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

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.CY20241 cited

DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures

Agrima Seth, Sanchit Ahuja, Kalika Bali +1

Generative models are increasingly being used in various applications, such as text generation, commonsense reasoning, and question-answering. To be effective globally, these model…

cs.CL2024

MAFIA: Multi-Adapter Fused Inclusive LanguAge Models

Prachi Jain, Ashutosh Sathe, Varun Gumma +2

Pretrained Language Models (PLMs) are widely used in NLP for various tasks. Recent studies have identified various biases that such models exhibit and have proposed methods to corr…

cs.CL20231 cited

Representativeness as a Forgotten Lesson for Multilingual and Code-switched Data Collection and Preparation

A. Seza Doğruöz, Sunayana Sitaram, Zheng-Xin Yong

Multilingualism is widespread around the world and code-switching (CSW) is a common practice among different language pairs/tuples across locations and regions. However, there is s…

eess.AS2023

Partial Rank Similarity Minimization Method for Quality MOS Prediction of Unseen Speech Synthesis Systems in Zero-Shot and Semi-supervised setting

Hemant Yadav, Erica Cooper, Junichi Yamagishi +2

This paper introduces a novel objective function for quality mean opinion score (MOS) prediction of unseen speech synthesis systems. The proposed function measures the similarity o…

cs.CL2023

DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer

Shanu Kumar, Abbaraju Soujanya, Sandipan Dandapat +2

Zero-shot cross-lingual transfer is promising, however has been shown to be sub-optimal, with inferior transfer performance across low-resource languages. In this work, we envision…