Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

We present, Naamapadam, the largest publicly available Named Entity Recognition (NER)
dataset for the 11 major Indian languages from two language families. The dataset contains …

This study addresses the challenge of extending Large Language Models (LLMs) to non-
English languages, specifically those using non-Roman scripts. We propose an approach …

Automated mathematical problem-solving represents a unique intersection of natural
language processing (NLP) and mathematical reasoning, posing significant challenges in …

We announce the initial release of" Airavata," an instruction-tuned LLM for Hindi. Airavata
was created by fine-tuning OpenHathi with diverse, instruction-tuning Hindi datasets to make …

Question generation (QG), the task of generating questions from text or other forms of data, a
significant and challenging subject, has recently attracted more attention in natural language …

This paper introduces PMIndiaSum, a multilingual and massively parallel summarization
corpus focused on languages in India. Our corpus provides a training and testing ground for …

We introduce mEdIT, a multi-lingual extension to CoEdIT--the recent state-of-the-art text
editing models for writing assistance. mEdIT models are trained by fine-tuning multi-lingual …

In the evolving NLP landscape, benchmarks serve as yardsticks for gauging progress.
However, existing Legal NLP benchmarks only focus on predictive tasks, overlooking …