8 citations · 22 across the 10 of their papers we have counts for
10 papers
No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size
Ashok Urlana, Charaka Vinayak Kumar, Bala Mallikarjunarao Garlapati +2
Large language models (LLMs) are playing a pivotal role in deploying strategic use cases across a range of organizations, from large pan-continental companies to emerging startups.…
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
Ashok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati +3
The Large Language Models (LLMs) exhibit remarkable ability to generate fluent content across a wide spectrum of user queries. However, this capability has raised concerns regardin…
LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers
Abdur Rahman Bin Md Faizullah, Ashok Urlana, Rahul Mishra
Examining limitations is a crucial step in the scholarly research reviewing process, revealing aspects where a study might lack decisiveness or require enhancement. This aids reade…
LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey
Ashok Urlana, Charaka Vinayak Kumar, Ajeet Kumar Singh +3
Large language models (LLMs) have become the secret ingredient driving numerous industrial applications, showcasing their remarkable versatility across a diverse spectrum of tasks.…
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…
Bflier's: A Novel Butterfly Inspired Multi-robotic Model in Search of Signal Sources
Chakravarthi J, Vinod Babu P, Pavan B +4
The diversified ecology in nature had various forms of swarm behaviors in many species. The butterfly species is one of the prominent and a bit insightful in their random flights a…
Butterflies: A new source of inspiration for futuristic aerial robotics
Chakravarthi Jada, Lokesh Ch. R. S, Ashok Urlana +5
Nature is an inhabitant for enormous number of species. All the species do perform complex activities with simple and elegant rules for their survival. The property of emergence of…