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Limits of Detecting Text Generated by Large-Scale Language Models

Limits of Detecting Text Generated by Large-Scale Language Models

Information Theory and Applications Workshop (ITA), 2020
9 February 2020
Lav Varshney
N. Keskar
R. Socher
    DeLMO
ArXiv (abs)PDFHTML

Papers citing "Limits of Detecting Text Generated by Large-Scale Language Models"

14 / 14 papers shown
Watermarking Discrete Diffusion Language Models
Watermarking Discrete Diffusion Language Models
Avi Bagchi
Akhil Bhimaraju
Moulik Choraria
Daniel Alabi
Lav Varshney
203
0
0
03 Nov 2025
VietBinoculars: A Zero-Shot Approach for Detecting Vietnamese LLM-Generated Text
VietBinoculars: A Zero-Shot Approach for Detecting Vietnamese LLM-Generated Text
Trieu Hai Nguyen
Sivaswamy Akilesh
189
0
0
30 Sep 2025
Benchmarking of LLM Detection: Comparing Two Competing Approaches
Benchmarking of LLM Detection: Comparing Two Competing Approaches
Thorsten Pröhl
Erik Putzier
Rüdiger Zarnekow
DeLMO
246
3
0
17 Jun 2024
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated
  Text
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextInternational Conference on Machine Learning (ICML), 2024
Abhimanyu Hans
Avi Schwarzschild
Valeriia Cherepanova
Hamid Kazemi
Aniruddha Saha
Micah Goldblum
Jonas Geiping
Tom Goldstein
DeLMO
392
239
0
22 Jan 2024
Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text
  Detection
Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text DetectionAustralasian Language Technology Association Workshop (ALTA), 2023
Duke Nguyen
Khaing Myat Noe Naing
Aditya Joshi
256
8
0
29 Oct 2023
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned
  Samples in NLP
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLPNeural Information Processing Systems (NeurIPS), 2023
Lu Yan
Zhuo Zhang
Guanhong Tao
Kaiyuan Zhang
Xuan Chen
Guangyu Shen
Xiangyu Zhang
AAMLSILM
278
32
0
04 Aug 2023
On the Reliability of Watermarks for Large Language Models
On the Reliability of Watermarks for Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
John Kirchenbauer
Jonas Geiping
Yuxin Wen
Manli Shu
Khalid Saifullah
Kezhi Kong
Kasun Fernando
Aniruddha Saha
Micah Goldblum
Tom Goldstein
WaLM
415
193
0
07 Jun 2023
Long-form analogies generated by chatGPT lack human-like
  psycholinguistic properties
Long-form analogies generated by chatGPT lack human-like psycholinguistic propertiesAnnual Meeting of the Cognitive Science Society (CogSci), 2023
S. M. Seals
V. Shalin
219
21
0
07 Jun 2023
The Gradient of Generative AI Release: Methods and Considerations
The Gradient of Generative AI Release: Methods and ConsiderationsConference on Fairness, Accountability and Transparency (FAccT), 2023
Irene Solaiman
222
132
0
05 Feb 2023
Attribution and Obfuscation of Neural Text Authorship: A Data Mining
  Perspective
Attribution and Obfuscation of Neural Text Authorship: A Data Mining PerspectiveSIGKDD Explorations (SIGKDD Explor.), 2022
Adaku Uchendu
Thai Le
Dongwon Lee
DeLMO
368
56
0
19 Oct 2022
A Benchmark Corpus for the Detection of Automatically Generated Text in
  Academic Publications
A Benchmark Corpus for the Detection of Automatically Generated Text in Academic PublicationsInternational Conference on Language Resources and Evaluation (LREC), 2022
Vijini Liyanage
Davide Buscaldi
A. Nazarenko
DeLMO
325
32
0
04 Feb 2022
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of
  Neural Text Generation
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Adaku Uchendu
Zeyu Ma
Thai Le
Rui Zhang
Dongwon Lee
DeLMO
342
168
0
27 Sep 2021
Mirostat: A Neural Text Decoding Algorithm that Directly Controls
  Perplexity
Mirostat: A Neural Text Decoding Algorithm that Directly Controls Perplexity
Sourya Basu
Govardana Sachithanandam Ramachandran
N. Keskar
Lav Varshney
AAML
270
8
0
29 Jul 2020
Aspect-Controlled Neural Argument Generation
Aspect-Controlled Neural Argument GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020
Benjamin Schiller
Johannes Daxenberger
Iryna Gurevych
255
82
0
30 Apr 2020
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