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ProdRev: A DNN framework for empowering customers using generative pre-trained transformers

ProdRev: A DNN framework for empowering customers using generative pre-trained transformers

14 May 2025
Aakash Gupta
Nataraj Das
ArXiv (abs)PDFHTML

Papers citing "ProdRev: A DNN framework for empowering customers using generative pre-trained transformers"

5 / 5 papers shown
Fine-tuning GPT-3 for Russian Text Summarization
Fine-tuning GPT-3 for Russian Text Summarization
Alexandr Nikolich
Arina Puchkova
182
33
0
07 Aug 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
2.0K
53,198
0
28 May 2020
Patent Claim Generation by Fine-Tuning OpenAI GPT-2
Patent Claim Generation by Fine-Tuning OpenAI GPT-2World Patent Information (WPI), 2019
Jieh-Sheng Lee
J. Hsiang
292
174
0
01 Jul 2019
Fine-tuning Pre-Trained Transformer Language Models to Distantly
  Supervised Relation Extraction
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Christoph Alt
Marc Hübner
Leonhard Hennig
200
132
0
19 Jun 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
2.4K
7,563
0
21 Apr 2019
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