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A Theoretical Analysis of the Repetition Problem in Text Generation
v1v2v3v4 (latest)

A Theoretical Analysis of the Repetition Problem in Text Generation

AAAI Conference on Artificial Intelligence (AAAI), 2020
29 December 2020
Z. Fu
Wai Lam
Anthony Man-Cho So
Bei Shi
ArXiv (abs)PDFHTMLGithub (54★)

Papers citing "A Theoretical Analysis of the Repetition Problem in Text Generation"

50 / 61 papers shown
Overview of the Plagiarism Detection Task at PAN 2025
Overview of the Plagiarism Detection Task at PAN 2025
André Greiner-Petter
Maik Fröbe
Jan Philip Wahle
Terry Ruas
Bela Gipp
Akiko Aizawa
Martin Potthast
187
0
0
08 Oct 2025
On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
Weiqing He
Xiang Li
Tianqi Shang
Li Shen
Weijie J. Su
Q. Long
WaLM
338
2
0
04 Oct 2025
Beyond Benchmark: LLMs Evaluation with an Anthropomorphic and Value-oriented Roadmap
Beyond Benchmark: LLMs Evaluation with an Anthropomorphic and Value-oriented Roadmap
Jun Wang
Ninglun Gu
Kailai Zhang
Zijiao Zhang
Yelun Bao
...
Liwei Liu
Yihuan Liu
Pengyong Li
Gary G. Yen
Junchi Yan
ALMELM
312
1
0
26 Aug 2025
Analyzing and Mitigating Repetitions in Trip Recommendation
Analyzing and Mitigating Repetitions in Trip RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024
Wenzheng Shu
Kangqi Xu
Wenxin Tai
Ting Zhong
Yong Wang
Fan Zhou
149
2
0
26 Jul 2025
Rethinking Repetition Problems of LLMs in Code Generation
Rethinking Repetition Problems of LLMs in Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yihong Dong
Yuchen Liu
Xue Jiang
Zhi Jin
Ge Li
308
6
0
15 May 2025
Understanding the Repeat Curse in Large Language Models from a Feature Perspective
Understanding the Repeat Curse in Large Language Models from a Feature PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Junchi Yao
Shu Yang
Jianhua Xu
Lijie Hu
Mengdi Li
Di Wang
755
27
0
19 Apr 2025
Repetitions are not all alike: distinct mechanisms sustain repetition in language models
Repetitions are not all alike: distinct mechanisms sustain repetition in language models
Matéo Mahaut
Francesca Franzon
462
4
0
01 Apr 2025
Detection Avoidance Techniques for Large Language Models
Detection Avoidance Techniques for Large Language ModelsData & Policy (DP), 2025
Sinclair Schneider
Florian Steuber
João A. G. Schneider
Gabi Dreo Rodosek
DeLMO
313
1
0
10 Mar 2025
Repetition Neurons: How Do Language Models Produce Repetitions?
Repetition Neurons: How Do Language Models Produce Repetitions?
Tatsuya Hiraoka
Kentaro Inui
MILM
479
18
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21 Feb 2025
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive ParaphrasingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Zhilin Wang
Yafu Li
Jianhao Yan
Yu Cheng
Yue Zhang
386
3
0
21 Feb 2025
MolMetaLM: a Physicochemical Knowledge-Guided Molecular Meta Language
  Model
MolMetaLM: a Physicochemical Knowledge-Guided Molecular Meta Language Model
Yifan Wu
Min Zeng
Yang Li
Yujiao Shi
Min Li
425
3
0
23 Nov 2024
ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage
ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information CoverageNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Taewhoo Lee
Chanwoong Yoon
Kyochul Jang
Donghyeon Lee
Minju Song
Hyunjae Kim
Jaewoo Kang
ELM
401
12
0
22 Oct 2024
Contrastive Token Learning with Similarity Decay for Repetition
  Suppression in Machine Translation
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Huangyu Dai
Ben Chen
Kaidi Chen
Ying Han
Zihan Liang
Wen Jiang
248
1
0
30 Sep 2024
Generative-Adversarial Networks for Low-Resource Language Data
  Augmentation in Machine Translation
Generative-Adversarial Networks for Low-Resource Language Data Augmentation in Machine TranslationICON (ICON), 2024
Linda Zeng
GAN
184
1
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24 Aug 2024
Emotion-driven Piano Music Generation via Two-stage Disentanglement and
  Functional Representation
Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representation
Jingyue Huang
Ke Chen
Yi-Hsuan Yang
CoGe
311
13
0
30 Jul 2024
Attention Overflow: Language Model Input Blur during Long-Context
  Missing Items Recommendation
Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation
Damien Sileo
LRMRALM
194
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0
18 Jul 2024
Know When To Stop: A Study of Semantic Drift in Text Generation
Know When To Stop: A Study of Semantic Drift in Text Generation
Ava Spataru
Eric Hambro
Elena Voita
Nicola Cancedda
307
16
0
08 Apr 2024
A Tulu Resource for Machine Translation
A Tulu Resource for Machine Translation
Manu Narayanan
Noemi Aepli
265
6
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28 Mar 2024
Neural Redshift: Random Networks are not Random Functions
Neural Redshift: Random Networks are not Random Functions
Damien Teney
A. Nicolicioiu
Valentin Hartmann
Ehsan Abbasnejad
753
41
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04 Mar 2024
From Self-Attention to Markov Models: Unveiling the Dynamics of
  Generative Transformers
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
M. E. Ildiz
Yixiao Huang
Yingcong Li
A. S. Rawat
Samet Oymak
307
43
0
21 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge
  Distillation
Large Language Model Meets Graph Neural Network in Knowledge Distillation
Shengxiang Hu
Guobing Zou
Song Yang
Yanglan Gan
Bofeng Zhang
Yixin Chen
435
17
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True Knowledge Comes from Practice: Aligning LLMs with Embodied
  Environments via Reinforcement Learning
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning
Weihao Tan
Wentao Zhang
Shanqi Liu
Longtao Zheng
Xinrun Wang
Rui Hu
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302
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Object Recognition as Next Token Prediction
Object Recognition as Next Token PredictionComputer Vision and Pattern Recognition (CVPR), 2023
Kaiyu Yue
Borchun Chen
Jonas Geiping
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Tom Goldstein
Ser-Nam Lim
604
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04 Dec 2023
Applying Large Language Models and Chain-of-Thought for Automatic
  Scoring
Applying Large Language Models and Chain-of-Thought for Automatic Scoring
Gyeong-Geon Lee
Ehsan Latif
Xuansheng Wu
Ninghao Liu
Xiaoming Zhai
286
186
0
30 Nov 2023
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of
  Lexical Overlap in Train and Test Reference Summaries
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference SummariesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Prafulla Kumar Choubey
Alexander R. Fabbri
Caiming Xiong
Chien-Sheng Wu
274
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Boosting Summarization with Normalizing Flows and Aggressive Training
Boosting Summarization with Normalizing Flows and Aggressive TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yu Yang
Xiaotong Shen
AI4CETPM
284
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"One-Size-Fits-All"? Examining Expectations around What Constitute
  "Fair" or "Good" NLG System Behaviors
"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System BehaviorsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Li Lucy
Su Lin Blodgett
Milad Shokouhi
Hanna M. Wallach
Alexandra Olteanu
342
13
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23 Oct 2023
Repetition In Repetition Out: Towards Understanding Neural Text
  Degeneration from the Data Perspective
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data PerspectiveNeural Information Processing Systems (NeurIPS), 2023
Huayang Li
Tian Lan
Z. Fu
Deng Cai
Lemao Liu
Nigel Collier
Taro Watanabe
Yixuan Su
271
36
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16 Oct 2023
Language Model Decoding as Direct Metrics Optimization
Language Model Decoding as Direct Metrics OptimizationInternational Conference on Learning Representations (ICLR), 2023
Haozhe Ji
Pei Ke
Hongning Wang
Shiyu Huang
392
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02 Oct 2023
Understanding In-Context Learning from Repetitions
Understanding In-Context Learning from RepetitionsInternational Conference on Learning Representations (ICLR), 2023
Jianhao Yan
Jin Xu
Chiyu Song
Chenming Wu
Yafu Li
Yue Zhang
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30 Sep 2023
Learning to Diversify Neural Text Generation via Degenerative Model
Learning to Diversify Neural Text Generation via Degenerative ModelInternational Joint Conference on Natural Language Processing (IJCNLP), 2023
Jimin Hong
Yujin Baek
Jaegul Choo
266
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22 Sep 2023
Prompt Tuned Embedding Classification for Multi-Label Industry Sector
  Allocation
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
V. Buchner
Lele Cao
Jan-Christoph Kalo
Vilhelm von Ehrenheim
VLM
379
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21 Sep 2023
Mitigating the Learning Bias towards Repetition by Self-Contrastive
  Training for Open-Ended Generation
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
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Stay on topic with Classifier-Free Guidance
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