Mitigating Human and Computer Opinion Fraud via Contrastive Learning

8 January 2023

Papers citing "Mitigating Human and Computer Opinion Fraud via Contrastive Learning"

4 / 4 papers shown

Title
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 458 2,120 0 31 Dec 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems Jiaxi Tang Hongyi Wen Ke Wang AAML 36 83 0 11 Aug 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 677 24,541 0 26 Jul 2019
Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems Paweł Budzianowski Ivan Vulić 70 310 0 12 Jul 2019