activity
20162026
most citedMultilingual and code-switching ASR challenges for low resource Indian languages

78 citations · 164 across the 33 of their papers we have counts for

collaborators
Showing 2024Show all

9 papers · 1 filter

cs.CL2024

KAHANI: Culturally-Nuanced Visual Storytelling Tool for Non-Western Cultures

Hamna, Deepthi Sudharsan, Agrima Seth +6

Large Language Models (LLMs) and Text-To-Image (T2I) models have demonstrated the ability to generate compelling text and visual stories. However, their outputs are predominantly a…

cs.CL2024

Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models

Varun Gumma, Pranjal A. Chitale, Kalika Bali

Neural Machine Translation (NMT) models have traditionally used Sinusoidal Positional Embeddings (PEs), which often struggle to capture long-range dependencies and are inefficient…

cs.CL2024

Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting

Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram +3

Socio-demographic prompting is a commonly employed approach to study cultural biases in LLMs as well as for aligning models to certain cultures. In this paper, we systematically pr…

cs.CL2024★ 1 cited

Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios

Millicent Ochieng, Varun Gumma, Sunayana Sitaram +5

The deployment of Large Language Models (LLMs) in real-world applications presents both opportunities and challenges, particularly in multilingual and code-mixed communication sett…

cs.CL2024★ 1 cited

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.CL2024★ 2 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.CY2024★ 1 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

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…