Fetching the paper…
Reading the bibliography…
With the rise of generative pre-trained transformer models such as GPT-3, GPT-NeoX, or OPT, distinguishing human-generated texts from machine-generated ones has become important.
In Proceedings of the 20th Annual Network & Distributed System Security Symposium , 2013
“Social Turing Tests: Crowdsourcing Sybil Detection” · 2013
Earlier work this paper cites.
In Proceedings of the 20th Annual Network & Distributed System Security Symposium , 2013
“Social Turing Tests: Crowdsourcing Sybil Detection” · 2013
Earlier work this paper cites.
“Teaching Machines to Read and Comprehend”
Karl Hermann et al · 2015
Earlier work this paper cites.
“Teaching Machines to Read and Comprehend”
Karl Hermann et al · 2015
Earlier work this paper cites.
“Detecting Social Bots on Twitter: A Literature Review”
Eiman Alothali, Nazar Zaki, Elfadil. Mohamed and Hany Alashwal · 2018
Earlier work this paper cites.
“Unsupervised Anomaly Based Botnet Detection in IoT Networks”
Sven Nomm and Hayretdin Bahsi · 2018
Earlier work this paper cites.
“A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference”
Adina Williams, Nikita Nangia and Samuel. Bowman · 2018
Earlier work this paper cites.
“Detecting Social Bots on Twitter: A Literature Review”
Eiman Alothali, Nazar Zaki, Elfadil. Mohamed and Hany Alashwal · 2018
Earlier work this paper cites.
“Unsupervised Anomaly Based Botnet Detection in IoT Networks”
Sven Nomm and Hayretdin Bahsi · 2018
Earlier work this paper cites.
“A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference”
Adina Williams, Nikita Nangia and Samuel. Bowman · 2018
Earlier work this paper cites.
“GLTR: Statistical Detection and Visualization of Generated Text”
Sebastian Gehrmann, Hendrik Strobelt and Alexander Rush · 2019
Earlier work this paper cites.
“RoBERTa: A Robustly Optimized BERT Pretraining Approach”, 2019
Yinhan Liu et al · 2019
Earlier work this paper cites.
“Language models are unsupervised multitask learners” OpenAI Blog, 2019
Alec Radford et al · 2019
Earlier work this paper cites.
“Neural network acceptability judgments”
Alex Warstadt, Amanpreet Singh and Samuel Bowman · 2019
Earlier work this paper cites.
“GLTR: Statistical Detection and Visualization of Generated Text”
Sebastian Gehrmann, Hendrik Strobelt and Alexander Rush · 2019
Earlier work this paper cites.
“RoBERTa: A Robustly Optimized BERT Pretraining Approach”, 2019
Yinhan Liu et al · 2019
Earlier work this paper cites.
“Language models are unsupervised multitask learners” OpenAI Blog, 2019
Alec Radford et al · 2019
Earlier work this paper cites.
“Neural network acceptability judgments”
Alex Warstadt, Amanpreet Singh and Samuel Bowman · 2019
Earlier work this paper cites.
“BotChase: Graph-based bot detection using machine learning”
Abbas Daya, Mohammad. Salahuddin, Noura Limam and Raouf Boutaba · 2020
Earlier work this paper cites.
“RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text”
Liam Dugan, Daphne Ippolito, Arun Kirubarajan and Chris Callison-Burch · 2020
Earlier work this paper cites.
“Automatic Detection of Generated Text is Easiest when Humans are Fooled”
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch and Douglas Eck · 2020
Earlier work this paper cites.
“Detection of bots in social media: A systematic review”
Mariam Orabi, Djedjiga Mouheb, Zaher Al and Ibrahim Kamel · 2020
Earlier work this paper cites.
“Exploring the limits of transfer learning with a unified text-to-text transformer”
Colin Raffel et al · 2020
Cited alongside, same era.
“Reverse Engineering Configurations of Neural Text Generation Models”
Yi Tay et al · 2020
Cited alongside, same era.
“TRL: Transformer Reinforcement Learning” Python package
Leandro von Werra et al · 2020
Cited alongside, same era.
“Fine-Tuning Language Models from Human Preferences”, 2020
Daniel. Ziegler et al · 2020
Cited alongside, same era.
“BotChase: Graph-based bot detection using machine learning”
Abbas Daya, Mohammad. Salahuddin, Noura Limam and Raouf Boutaba · 2020
Cited alongside, same era.
“RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text”
Liam Dugan, Daphne Ippolito, Arun Kirubarajan and Chris Callison-Burch · 2020
Cited alongside, same era.
“Discrimination of human-written and human and machine written sentences using text consistency”
Atsumu Harada, Danushka Bollegala and Naiwala Chandrasiri · 2021
Later among the works it cites.
“DeBERTa: Decoding-enhanced BERT with Disentangled Attention”, 2021
Pengcheng He, Xiaodong Liu, Jianfeng Gao and Weizhu Chen · 2021
Later among the works it cites.
“GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model” Large language model
Ben Wang and Aran Komatsuzaki · 2021
Later among the works it cites.
“FNet: Mixing Tokens with Fourier Transforms”
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein and Santiago Ontañón · 2022
Later among the works it cites.
“Training language models to follow instructions with human feedback”
Long Ouyang et al · 2022
Later among the works it cites.
“OPT: Open Pre-trained Transformer Language Models”, 2022
Susan Zhang et al · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Automatic Detection of Generated Text is Easiest when Humans are Fooled”
Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch and Douglas Eck · 2020
Cited alongside, same era.
“Detection of bots in social media: A systematic review”
Mariam Orabi, Djedjiga Mouheb, Zaher Al and Ibrahim Kamel · 2020
Cited alongside, same era.
“Exploring the limits of transfer learning with a unified text-to-text transformer”
Colin Raffel et al · 2020
Cited alongside, same era.
“Reverse Engineering Configurations of Neural Text Generation Models”
Yi Tay et al · 2020
Cited alongside, same era.
“TRL: Transformer Reinforcement Learning” Python package
Leandro von Werra et al · 2020
Cited alongside, same era.
“Fine-Tuning Language Models from Human Preferences”, 2020
Daniel. Ziegler et al · 2020
Cited alongside, same era.
Later among the works it cites.
“FNet: Mixing Tokens with Fourier Transforms”
James Lee-Thorp, Joshua Ainslie, Ilya Eckstein and Santiago Ontañón · 2022
Later among the works it cites.
“Training language models to follow instructions with human feedback”
Long Ouyang et al · 2022
Later among the works it cites.
“OPT: Open Pre-trained Transformer Language Models”, 2022
Susan Zhang et al · 2022
Later among the works it cites.
“Symbolic Discovery of Optimization Algorithms”, 2023
Xiangning Chen et al · 2023
Closest in time.
“DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing”, 2023
Pengcheng He, Jianfeng Gao and Weizhu Chen · 2023
Closest in time.
“New AI classifier for indicating AI-written text” Product Announcement, 2023
Jan Kirchner, Lama Ahmad, Scott Aaronson and Jan Leike · 2023
Closest in time.
“Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense”, 2023
Kalpesh Krishna et al · 2023
Closest in time.
“Locally typical sampling”
Clara Meister, Tiago Pimentel, Gian Wiher and Ryan Cotterell · 2023
Closest in time.
“DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature”, 2023
Eric Mitchell et al · 2023
Closest in time.
“Symbolic Discovery of Optimization Algorithms”, 2023
Xiangning Chen et al · 2023
Closest in time.
“DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing”, 2023
Pengcheng He, Jianfeng Gao and Weizhu Chen · 2023
Closest in time.
“New AI classifier for indicating AI-written text” Product Announcement, 2023
Jan Kirchner, Lama Ahmad, Scott Aaronson and Jan Leike · 2023
Closest in time.
“Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense”, 2023
Kalpesh Krishna et al · 2023
Closest in time.
“Locally typical sampling”
Clara Meister, Tiago Pimentel, Gian Wiher and Ryan Cotterell · 2023
Closest in time.
“DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature”, 2023
Eric Mitchell et al · 2023
Closest in time.