Artificial Text Detection with Multiple Training Strategies

Artificial Text Detection with Multiple Training Strategies

10 December 2022

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Papers citing "Artificial Text Detection with Multiple Training Strategies"

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Title
A survey on text generation using generative adversarial networks Gustavo de Rosa João Paulo Papa GAN 52 91 0 20 Dec 2022
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian T. Shamardina Vladislav Mikhailov Daniil Chernianskii Alena Fenogenova Marat Saidov A. Valeeva Tatiana Shavrina I. Smurov E. Tutubalina Ekaterina Artemova DeLMO 45 30 0 03 Jun 2022
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing Pengcheng He Jianfeng Gao Weizhu Chen 183 1,205 0 18 Nov 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 176 190 0 13 Sep 2021
Artificial Text Detection via Examining the Topology of Attention Maps Laida Kushnareva D. Cherniavskii Vladislav Mikhailov Ekaterina Artemova S. Barannikov A. Bernstein Irina Piontkovskaya D. Piontkovski Evgeny Burnaev 92 51 0 10 Sep 2021
Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet M. O. Topal Anil Bas Imke van Heerden LLMAG AI4CE 58 91 0 16 Feb 2021
Automatic Detection of Machine Generated Text: A Critical Survey Ganesh Jawahar Muhammad Abdul-Mageed L. Lakshmanan DeLMO 71 236 0 02 Nov 2020
A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models Usman Naseem Imran Razzak S. Khan M. Prasad 64 159 0 28 Oct 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 163 2,750 0 05 Jun 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 366 1,489 0 18 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
Unsupervised Cross-lingual Representation Learning at Scale Alexis Conneau Kartikay Khandelwal Naman Goyal Vishrav Chaudhary Guillaume Wenzek Francisco Guzmán Edouard Grave Myle Ott Luke Zettlemoyer Veselin Stoyanov 228 6,587 0 05 Nov 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann Lav Varshney Caiming Xiong R. Socher AI4CE 130 1,239 0 11 Sep 2019
Release Strategies and the Social Impacts of Language Models Irene Solaiman Miles Brundage Jack Clark Amanda Askell Ariel Herbert-Voss ... Miles McCain Alex Newhouse Jason Blazakis Kris McGuffie Jasmine Wang 87 632 0 24 Aug 2019
Defending Against Neural Fake News Rowan Zellers Ari Holtzman Hannah Rashkin Yonatan Bisk Ali Farhadi Franziska Roesner Yejin Choi AAML 128 1,030 0 29 May 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014