4 citations · 7 across the 7 of their papers we have counts for
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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.HC2024★ 4 cited
OpineBot: Class Feedback Reimagined Using a Conversational LLM
Henansh Tanwar, Kunal Shrivastva, Rahul Singh +1
Conventional class feedback systems often fall short, relying on static, unengaging surveys offering little incentive for student participation. To address this, we present OpineBo…