PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors

Author:

Yadav Vikas1ORCID,Tang Zheng2ORCID,Srinivasan Vijay2ORCID

Affiliation:

1. University of Arizona & ServiceNow, Tucson, AZ, USA

2. Samsung Research America, Mountain View, CA, USA

Publisher

ACM

Reference30 articles.

1. Quentin Brabant, Gwénolé Lecorvé, and Lina M Rojas Barahona. 2022. CoQAR: Question Rewriting on CoQA. In Proceedings of the Thirteenth Language Resources and Evaluation Conference. 119--126.

2. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877--1901.

3. IñigoCasanueva,TadasTem?inas,DanielaGerz,MatthewHenderson,andIvan Vuli?. 2020. Efficient Intent Detection with Dual Sentence Encoders. In Proceedings of the 2nd Workshop on Natural Language Processing for Conversational AI. 38--45.

4. A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task

5. Paraphrase Generation for Semi-Supervised Learning in

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