8 citations · 22 across the 10 of their papers we have counts for
4 papers · 1 filter
Assessing Translation capabilities of Large Language Models involving English and Indian Languages
Vandan Mujadia, Ashok Urlana, Yash Bhaskar +4
Generative Large Language Models (LLMs) have achieved remarkable advancements in various NLP tasks. In this work, our aim is to explore the multilingual capabilities of large langu…
Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
Ashok Urlana, Pruthwik Mishra, Tathagato Roy +1
Generic text summarization approaches often fail to address the specific intent and needs of individual users. Recently, scholarly attention has turned to the development of summar…
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
Ashok Urlana, Pinzhen Chen, Zheng Zhao +3
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 fo…
Indian Language Summarization using Pretrained Sequence-to-Sequence Models
Ashok Urlana, Sahil Manoj Bhatt, Nirmal Surange +1
The ILSUM shared task focuses on text summarization for two major Indian languages- Hindi and Gujarati, along with English. In this task, we experiment with various pretrained sequ…