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Detecting Machine-Generated Texts by Multi-Population Aware Optimization
  for Maximum Mean Discrepancy

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy

25 February 2024
Shuhai Zhang
Yiliao Song
Jiahao Yang
Yuanqing Li
Bo Han
Mingkui Tan
    DeLMO
ArXivPDFHTML

Papers citing "Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy"

13 / 13 papers shown
Title
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
Xiaowei Zhu
Yubing Ren
Yanan Cao
Xixun Lin
Fang Fang
Yangxi Li
43
0
0
08 May 2025
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text
TempTest: Local Normalization Distortion and the Detection of Machine-generated Text
Tom Kempton
Stuart Burrell
Connor Cheverall
DeLMO
111
0
0
26 Mar 2025
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
Chaoqi Wang
Zhuokai Zhao
Yibo Jiang
Zhaorun Chen
Chen Zhu
...
Jiayi Liu
Lizhu Zhang
Xiangjun Fan
Hao Ma
Sinong Wang
77
3
0
17 Jan 2025
MGTBench: Benchmarking Machine-Generated Text Detection
MGTBench: Benchmarking Machine-Generated Text Detection
Xinlei He
Xinyue Shen
Z. Chen
Michael Backes
Yang Zhang
DeLMO
61
100
0
26 Mar 2023
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Luke Vilnis
Yury Zemlyanskiy
Patrick C. Murray
Alexandre Passos
Sumit Sanghai
59
9
0
18 Oct 2022
CATER: Intellectual Property Protection on Text Generation APIs via
  Conditional Watermarks
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
Xuanli He
Qiongkai Xu
Yi Zeng
Lingjuan Lyu
Fangzhao Wu
Jiwei Li
R. Jia
WaLM
183
71
0
19 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
313
11,953
0
04 Mar 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,432
0
22 Aug 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
214
1,327
0
05 Jun 2016
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