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PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection

PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection

24 June 2024
Jooyoung Lee
Toshini Agrawal
Adaku Uchendu
Thai V. Le
Jinghui Chen
Dongwon Lee
ArXivPDFHTML

Papers citing "PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection"

36 / 36 papers shown
Title
Can AI-Generated Text be Reliably Detected?
Can AI-Generated Text be Reliably Detected?
Vinu Sankar Sadasivan
Aounon Kumar
S. Balasubramanian
Wenxiao Wang
Soheil Feizi
DeLMO
200
385
0
20 Jan 2025
Survey on Plagiarism Detection in Large Language Models: The Impact of
  ChatGPT and Gemini on Academic Integrity
Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity
Shushanta Pudasaini
Luis Miralles-Pechuán
David Lillis
Marisa Llorens-Salvador
89
4
0
04 Jun 2024
Fine-grained Hallucination Detection and Editing for Language Models
Fine-grained Hallucination Detection and Editing for Language Models
Abhika Mishra
Akari Asai
Vidhisha Balachandran
Yizhong Wang
Graham Neubig
Yulia Tsvetkov
Hannaneh Hajishirzi
HILM
69
85
0
12 Jan 2024
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
267
11,791
0
18 Jul 2023
Testing of Detection Tools for AI-Generated Text
Testing of Detection Tools for AI-Generated Text
Debora Weber-Wulff
Alla Anohina-Naumeca
Sonja Bjelobaba
T. Foltýnek
J. Guerrero-Dib
Olumide Popoola
Petr Sigut
Lorna Waddington
DeLMO
49
218
0
21 Jun 2023
AlignScore: Evaluating Factual Consistency with a Unified Alignment
  Function
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
Yuheng Zha
Yichi Yang
Ruichen Li
Zhiting Hu
HILM
63
200
0
26 May 2023
Foundation Models and Fair Use
Foundation Models and Fair Use
Peter Henderson
Xuechen Li
Dan Jurafsky
Tatsunori Hashimoto
Mark A. Lemley
Percy Liang
68
122
0
28 Mar 2023
Paraphrase Detection: Human vs. Machine Content
Paraphrase Detection: Human vs. Machine Content
Jonas Becker
Jan Philip Wahle
Terry Ruas
Bela Gipp
DeLMO
51
14
0
24 Mar 2023
Paraphrasing evades detectors of AI-generated text, but retrieval is an
  effective defense
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
Kalpesh Krishna
Yixiao Song
Marzena Karpinska
John Wieting
Mohit Iyyer
DeLMO
48
317
0
23 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
1.2K
14,179
0
15 Mar 2023
Benchmarking Large Language Models for News Summarization
Benchmarking Large Language Models for News Summarization
Tianyi Zhang
Faisal Ladhak
Esin Durmus
Percy Liang
Kathleen McKeown
Tatsunori B. Hashimoto
ELM
65
515
0
31 Jan 2023
Revisiting the Gold Standard: Grounding Summarization Evaluation with
  Robust Human Evaluation
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
Yixin Liu
Alexander R. Fabbri
Pengfei Liu
Yilun Zhao
Linyong Nan
...
Simeng Han
Shafiq Joty
Chien-Sheng Wu
Caiming Xiong
Dragomir R. Radev
ALM
59
133
0
15 Dec 2022
How Large Language Models are Transforming Machine-Paraphrased
  Plagiarism
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
Jan Philip Wahle
Terry Ruas
Frederic Kirstein
Bela Gipp
38
33
0
07 Oct 2022
News Summarization and Evaluation in the Era of GPT-3
News Summarization and Evaluation in the Era of GPT-3
Tanya Goyal
Junyi Jessy Li
Greg Durrett
ELM
88
401
0
26 Sep 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAG
LRM
142
1,471
0
25 Feb 2022
What Does it Mean for a Language Model to Preserve Privacy?
What Does it Mean for a Language Model to Preserve Privacy?
Hannah Brown
Katherine Lee
Fatemehsadat Mireshghallah
Reza Shokri
Florian Tramèr
PILM
81
239
0
11 Feb 2022
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation
Hong Chen
Hiroya Takamura
Hideki Nakayama
54
19
0
20 Oct 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
118
3,723
0
03 Sep 2021
BARTScore: Evaluating Generated Text as Text Generation
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan
Graham Neubig
Pengfei Liu
95
841
0
22 Jun 2021
Are Neural Language Models Good Plagiarists? A Benchmark for Neural
  Paraphrase Detection
Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
Jan Philip Wahle
Terry Ruas
Norman Meuschke
Bela Gipp
46
34
0
23 Mar 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
364
1,370
0
17 Jan 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
436
1,906
0
14 Dec 2020
GRUEN for Evaluating Linguistic Quality of Generated Text
GRUEN for Evaluating Linguistic Quality of Generated Text
Wanzheng Zhu
S. Bhat
88
61
0
06 Oct 2020
SummEval: Re-evaluating Summarization Evaluation
SummEval: Re-evaluating Summarization Evaluation
Alexander R. Fabbri
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
Dragomir R. Radev
HILM
90
710
0
24 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
682
41,736
0
28 May 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALM
VLM
131
4,048
0
10 Apr 2020
Fill in the BLANC: Human-free quality estimation of document summaries
Fill in the BLANC: Human-free quality estimation of document summaries
Oleg V. Vasilyev
Vedant Dharnidharka
John Bohannon
3DH
75
117
0
23 Feb 2020
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
221
10,792
0
29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
379
20,053
0
23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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
531
24,351
0
26 Jul 2019
BERTScore: Evaluating Text Generation with BERT
BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang
Varsha Kishore
Felix Wu
Kilian Q. Weinberger
Yoav Artzi
285
5,764
0
21 Apr 2019
PAWS: Paraphrase Adversaries from Word Scrambling
PAWS: Paraphrase Adversaries from Word Scrambling
Yuan Zhang
Jason Baldridge
Luheng He
68
543
0
01 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.6K
94,511
0
11 Oct 2018
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
117
1,671
0
27 Aug 2018
A Discourse-Aware Attention Model for Abstractive Summarization of Long
  Documents
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Arman Cohan
Franck Dernoncourt
Doo Soon Kim
Trung Bui
Seokhwan Kim
W. Chang
Nazli Goharian
432
759
0
16 Apr 2018
A Corpus and Evaluation Framework for Deeper Understanding of
  Commonsense Stories
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories
N. Mostafazadeh
Nathanael Chambers
Xiaodong He
Devi Parikh
Dhruv Batra
Lucy Vanderwende
Pushmeet Kohli
James F. Allen
125
710
0
06 Apr 2016
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