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Automatic Detection of Generated Text is Easiest when Humans are Fooled
v1v2 (latest)

Automatic Detection of Generated Text is Easiest when Humans are Fooled

Annual Meeting of the Association for Computational Linguistics (ACL), 2019
2 November 2019
Daphne Ippolito
Daniel Duckworth
Chris Callison-Burch
Douglas Eck
    DeLMO
ArXiv (abs)PDFHTML

Papers citing "Automatic Detection of Generated Text is Easiest when Humans are Fooled"

50 / 214 papers shown
I Know You Did Not Write That! A Sampling Based Watermarking Method for
  Identifying Machine Generated Text
I Know You Did Not Write That! A Sampling Based Watermarking Method for Identifying Machine Generated Text
Kaan Efe Keles
Ömer Kaan Gürbüz
Mucahid Kutlu
WaLM
240
4
0
29 Nov 2023
AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language
  Models Denoising
AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising
Zhen Guo
Shangdi Yu
DeLMO
259
14
0
13 Nov 2023
Transformation vs Tradition: Artificial General Intelligence (AGI) for
  Arts and Humanities
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities
Zheng Liu
Yiwei Li
Zhongliang Zhou
Junwen Chen
Tianze Yang
...
John Gibbs
Khaled Rasheed
Ninghao Liu
Gengchen Mai
Tianming Liu
AI4CE
367
13
0
30 Oct 2023
How well can machine-generated texts be identified and can language
  models be trained to avoid identification?
How well can machine-generated texts be identified and can language models be trained to avoid identification?
Sinclair Schneider
Florian Steuber
João A. G. Schneider
Gabi Dreo Rodosek
DeLMO
150
1
0
25 Oct 2023
Do Stochastic Parrots have Feelings Too? Improving Neural Detection of
  Synthetic Text via Emotion Recognition
Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Alan Cowap
Yvette Graham
Jennifer Foster
DeLMO
164
0
0
24 Oct 2023
A Survey on Detection of LLMs-Generated Content
A Survey on Detection of LLMs-Generated ContentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xianjun Yang
Liangming Pan
Xuandong Zhao
Haifeng Chen
Linda R. Petzold
William Y. Wang
Wei Cheng
DeLMO
347
75
0
24 Oct 2023
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future
  Directions
A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
Junchao Wu
Shu Yang
Runzhe Zhan
Yulin Yuan
Yang Li
Lidia S. Chao
DeLMO
382
91
0
23 Oct 2023
SeqXGPT: Sentence-Level AI-Generated Text Detection
SeqXGPT: Sentence-Level AI-Generated Text DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Pengyu Wang
Linyang Li
Ke Ren
Botian Jiang
Dong Zhang
Xipeng Qiu
DeLMO
389
87
0
13 Oct 2023
On the Zero-Shot Generalization of Machine-Generated Text Detectors
On the Zero-Shot Generalization of Machine-Generated Text DetectorsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xiao Pu
Jingyu Zhang
Xiaochuang Han
Yulia Tsvetkov
Tianxing He
DeLMO
164
23
0
08 Oct 2023
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text
  via Conditional Probability Curvature
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvatureInternational Conference on Learning Representations (ICLR), 2023
Guangsheng Bao
Yanbin Zhao
Zhiyang Teng
Linyi Yang
Yue Zhang
346
247
0
08 Oct 2023
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework
  Using Evasive Soft Prompts
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Tharindu Kumarage
Paras Sheth
Raha Moraffah
Joshua Garland
Huan Liu
DeLMO
181
32
0
08 Oct 2023
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text
  Generation
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation
Abe Bohan Hou
Jingyu Zhang
Tianxing He
Yichen Wang
Yung-Sung Chuang
Hongwei Wang
Lingfeng Shen
Benjamin Van Durme
Daniel Khashabi
Yulia Tsvetkov
WaLM
237
0
0
06 Oct 2023
A Survey of GPT-3 Family Large Language Models Including ChatGPT and
  GPT-4
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4Natural Language Processing Journal (JNLP), 2023
Katikapalli Subramanyam Kalyan
LM&MAAI4CELRMAILawELM
297
344
0
04 Oct 2023
TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with
  Diverse Writing Styles
TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing StylesEuropean Conference on Artificial Intelligence (ECAI), 2023
Adaku Uchendu
Thai Le
Dongwon Lee
DeLMO
364
7
0
22 Sep 2023
Unbiased Watermark for Large Language Models
Unbiased Watermark for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Zhengmian Hu
Lichang Chen
Xidong Wu
Yihan Wu
Hongyang R. Zhang
Heng-Chiao Huang
WaLM
317
90
0
22 Sep 2023
Overview of AuTexTification at IberLEF 2023: Detection and Attribution
  of Machine-Generated Text in Multiple Domains
Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains
A. Sarvazyan
José Ángel González
Marc Franco-Salvador
Francisco Rangel
Berta Chulvi
Paolo Rosso
DeLMO
239
78
0
20 Sep 2023
A Statistical Turing Test for Generative Models
A Statistical Turing Test for Generative Models
Hayden Helm
Carey E. Priebe
Weiwei Yang
DeLMO
175
9
0
16 Sep 2023
Fake News Detectors are Biased against Texts Generated by Large Language
  Models
Fake News Detectors are Biased against Texts Generated by Large Language Models
Jinyan Su
Terry Yue Zhuo
Jonibek Mansurov
Di Wang
Preslav Nakov
DeLMO
173
29
0
15 Sep 2023
Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated
  Text
Detecting ChatGPT: A Survey of the State of Detecting ChatGPT-Generated TextRecent Advances in Natural Language Processing (RANLP), 2023
Mahdi Dhaini
Wessel Poelman
Ege Erdogan
DeLMO
251
17
0
14 Sep 2023
Reverse-Engineering Decoding Strategies Given Blackbox Access to a
  Language Generation System
Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation SystemInternational Conference on Natural Language Generation (INLG), 2023
Daphne Ippolito
Nicholas Carlini
Katherine Lee
Milad Nasr
Yun William Yu
176
8
0
09 Sep 2023
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionInternational Joint Conference on Natural Language Processing (IJCNLP), 2023
Amrita Bhattacharjee
Tharindu Kumarage
Raha Moraffah
Huan Liu
DeLMO
308
69
0
07 Sep 2023
J-Guard: Journalism Guided Adversarially Robust Detection of
  AI-generated News
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated NewsInternational Joint Conference on Natural Language Processing (IJCNLP), 2023
Tharindu Kumarage
Amrita Bhattacharjee
Djordje Padejski
Kristy Roschke
Dan Gillmor
Scott W. Ruston
Huan Liu
Joshua Garland
DeLMO
201
13
0
06 Sep 2023
HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus
HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus
Zhenpeng Su
Xing Wu
Wei Zhou
Guangyuan Ma
Song Hu
DeLMO
243
25
0
06 Sep 2023
Identifying and Mitigating the Security Risks of Generative AI
Identifying and Mitigating the Security Risks of Generative AI
Clark W. Barrett
Bradley L Boyd
Ellie Burzstein
Nicholas Carlini
Brad Chen
...
Zulfikar Ramzan
Khawaja Shams
Basel Alomair
Ankur Taly
Diyi Yang
SILM
367
122
0
28 Aug 2023
Contrasting Linguistic Patterns in Human and LLM-Generated Text
Contrasting Linguistic Patterns in Human and LLM-Generated TextArtificial Intelligence Review (AIR), 2023
Alberto Muñoz-Ortiz
Carlos Gómez-Rodríguez
David Vilares
DeLMO
194
92
0
17 Aug 2023
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?SIGKDD Explorations (SIGKDD Explor.), 2023
Amrita Bhattacharjee
Huang Liu
DeLMO
291
83
0
02 Aug 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models:
  A Survey and Outlook
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and OutlookInternational Journal of Computer Vision (IJCV), 2023
Mingyuan Fan
Chengyu Wang
Cen Chen
Yang Liu
Jun Huang
HILM
312
13
0
31 Jul 2023
Three Bricks to Consolidate Watermarks for Large Language Models
Three Bricks to Consolidate Watermarks for Large Language ModelsInternational Workshop on Information Forensics and Security (WIFS), 2023
Pierre Fernandez
Antoine Chaffin
Karim Tit
Vivien Chappelier
Teddy Furon
WaLM
379
74
0
26 Jul 2023
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid
  Essay in Education
Towards Automatic Boundary Detection for Human-AI Collaborative Hybrid Essay in EducationAAAI Conference on Artificial Intelligence (AAAI), 2023
Zijie Zeng
Lele Sha
Yuheng Li
Kaixun Yang
D. Gašević
Guanliang Chen
DeLMO
508
22
0
23 Jul 2023
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with
  Adversarially Generated Examples
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated ExamplesAAAI Conference on Artificial Intelligence (AAAI), 2023
Ryuto Koike
Masahiro Kaneko
Naoaki Okazaki
DeLMO
390
124
0
21 Jul 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
RADAR: Robust AI-Text Detection via Adversarial LearningNeural Information Processing Systems (NeurIPS), 2023
Xiaomeng Hu
Pin-Yu Chen
Tsung-Yi Ho
DeLMO
337
197
0
07 Jul 2023
Testing of Detection Tools for AI-Generated Text
Testing of Detection Tools for AI-Generated TextInternational Journal for Educational Integrity (IJEI), 2023
Debora Weber-Wulff
Alla Anohina-Naumeca
Sonja Bjelobaba
T. Foltýnek
J. Guerrero-Dib
Olumide Popoola
Petr Sigut
Lorna Waddington
DeLMO
343
334
0
21 Jun 2023
On the Detectability of ChatGPT Content: Benchmarking, Methodology, and
  Evaluation through the Lens of Academic Writing
On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic WritingConference on Computer and Communications Security (CCS), 2023
Zeyan Liu
Zijun Yao
Fengjun Li
Bo Luo
DeLMO
227
39
0
07 Jun 2023
Game of Tones: Faculty detection of GPT-4 generated content in
  university assessments
Game of Tones: Faculty detection of GPT-4 generated content in university assessmentsJournal of Academic Ethics (JAE), 2023
Mike Perkins
Jasper Roe
Darius Postma
James McGaughran
James Cook University Singapore
DeLMO
116
122
0
29 May 2023
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of
  GPT-Generated Text
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated TextInternational Conference on Learning Representations (ICLR), 2023
Xianjun Yang
Wei Cheng
Yue Wu
Linda R. Petzold
William Yang Wang
Haifeng Chen
DeLMO
325
140
0
27 May 2023
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate
  Model
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate ModelAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yibo Miao
Hongcheng Gao
Hao Zhang
Zhijie Deng
DeLMO
303
26
0
26 May 2023
HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis
HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis
Christoforos Vasilatos
Manaar Alam
Talal Rahwan
Yasir Zaki
Michail Maniatakos
DeLMO
365
44
0
26 May 2023
Who Wrote this Code? Watermarking for Code Generation
Who Wrote this Code? Watermarking for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Taehyun Lee
Seokhee Hong
Jaewoo Ahn
Ilgee Hong
Hwaran Lee
Sangdoo Yun
Jamin Shin
Gunhee Kim
WaLM
270
155
0
24 May 2023
Ghostbuster: Detecting Text Ghostwritten by Large Language Models
Ghostbuster: Detecting Text Ghostwritten by Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Vivek Verma
Eve Fleisig
Nicholas Tomlin
Dan Klein
DeLMO
315
95
0
24 May 2023
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box
  Machine-Generated Text Detection
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Yuxia Wang
Jonibek Mansurov
Petar Ivanov
Jinyan Su
Artem Shelmanov
...
Thomas Arnold
Alham Fikri Aji
Nizar Habash
Iryna Gurevych
Preslav Nakov
DeLMO
292
171
0
24 May 2023
HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors
  of Language Models in Human-Machine Conversations
HumBEL: A Human-in-the-Loop Approach for Evaluating Demographic Factors of Language Models in Human-Machine ConversationsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Anthony Sicilia
Jennifer C. Gates
Malihe Alikhani
266
11
0
23 May 2023
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of
  Machine-Generated Text
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated TextConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jinyan Su
Terry Yue Zhuo
Haiyan Zhao
Preslav Nakov
DeLMO
271
211
0
23 May 2023
The "code'' of Ethics:A Holistic Audit of AI Code Generators
The "code'' of Ethics:A Holistic Audit of AI Code GeneratorsIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Wanlun Ma
Yiliao Song
Minhui Xue
Sheng Wen
Yang Xiang
214
16
0
22 May 2023
G3Detector: General GPT-Generated Text Detector
Haolan Zhan
Xuanli He
Xingliang Yuan
Yuxiang Wu
Pontus Stenetorp
DeLMO
271
25
0
22 May 2023
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated
  Text Detection
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text DetectionNeural Information Processing Systems (NeurIPS), 2023
Xiao Yu
Yuang Qi
Kejiang Chen
Guoqiang Chen
Xi Yang
Pengyuan Zhu
Xiuwei Shang
Weiming Zhang
Neng H. Yu
DeLMO
324
16
0
21 May 2023
Smaller Language Models are Better Black-box Machine-Generated Text
  Detectors
Smaller Language Models are Better Black-box Machine-Generated Text Detectors
Niloofar Mireshghallah
Justus Mattern
Sicun Gao
Reza Shokri
Taylor Berg-Kirkpatrick
DeLMO
434
54
0
17 May 2023
Machine-Made Media: Monitoring the Mobilization of Machine-Generated
  Articles on Misinformation and Mainstream News Websites
Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News WebsitesInternational Conference on Web and Social Media (ICWSM), 2023
Hans W. A. Hanley
Zakir Durumeric
DeLMO
323
60
0
16 May 2023
GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content
GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content
Yutian Chen
Hao Kang
Vivian Zhai
Liang Li
Rita Singh
B. Ramakrishnan
DeLMO
247
77
0
13 May 2023
CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTracts
CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTractsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Peipeng Yu
Jiahan Chen
Xuan Feng
Zhihua Xia
340
60
0
24 Apr 2023
Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to
  Fine-Tune and Hard to Detect with other LLMs
Stochastic Parrots Looking for Stochastic Parrots: LLMs are Easy to Fine-Tune and Hard to Detect with other LLMs
Da Silva Gameiro Henrique
Andrei Kucharavy
R. Guerraoui
DeLMO
219
9
0
18 Apr 2023
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