2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2024
Downstream bias mitigation is all you need
Arkadeep Baksi, Rahul Singh, Tarun Joshi
The advent of transformer-based architectures and large language models (LLMs) have significantly advanced the performance of natural language processing (NLP) models. Since these…
cs.CL2024
Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting
Ying Li, Rahul Singh, Tarun Joshi +1
Recent work in behavioral testing for natural language processing (NLP) models, such as Checklist, is inspired by related paradigms in software engineering testing. They allow eval…
cs.CL2023★ 2 cited
Document Automation Architectures: Updated Survey in Light of Large Language Models
Mohammad Ahmadi Achachlouei, Omkar Patil, Tarun Joshi +1
This paper surveys the current state of the art in document automation (DA). The objective of DA is to reduce the manual effort during the generation of documents by automatically…