8 citations · 22 across the 10 of their papers we have counts for
4 papers · 1 filter
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.…