64 citations · 92 across the 7 of their papers we have counts for
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cs.CL2021
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models
Rakesh Chada, Pradeep Natarajan
The task of learning from only a few examples (called a few-shot setting) is of key importance and relevance to a real-world setting. For question answering (QA), the current state…
cs.CL2021
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models
Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya +1
Large-scale conversational assistants like Alexa, Siri, Cortana and Google Assistant process every utterance using multiple models for domain, intent and named entity recognition.…
cs.CV2021★ 4 cited
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
Jiaxin Cheng, Ayush Jaiswal, Yue Wu +2
Neural Style Transfer (NST) has quickly evolved from single-style to infinite-style models, also known as Arbitrary Style Transfer (AST). Although appealing results have been widel…