Repetition Neurons: How Do Language Models Produce Repetitions?
Fuente:
arXiv
Saved in:
| Main Authors: | Hiraoka, Tatsuya, Inui, Kentaro |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
by: Doan, Nhi Hoai, et al.
Published: (2025)
by: Doan, Nhi Hoai, et al.
Published: (2025)
Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters
by: Hiraoka, Tatsuya, et al.
Published: (2025)
by: Hiraoka, Tatsuya, et al.
Published: (2025)
The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces
by: El-Shangiti, Ahmed Oumar, et al.
Published: (2024)
by: El-Shangiti, Ahmed Oumar, et al.
Published: (2024)
Repetition Improves Language Model Embeddings
by: Springer, Jacob Mitchell, et al.
Published: (2024)
by: Springer, Jacob Mitchell, et al.
Published: (2024)
Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance
by: Ozaki, Shintaro, et al.
Published: (2025)
by: Ozaki, Shintaro, et al.
Published: (2025)
Sycophancy Hides Linearly in the Attention Heads
by: Genadi, Rifo, et al.
Published: (2026)
by: Genadi, Rifo, et al.
Published: (2026)
Monotonic Representation of Numeric Properties in Language Models
by: Heinzerling, Benjamin, et al.
Published: (2024)
by: Heinzerling, Benjamin, et al.
Published: (2024)
Knowledge of Pretrained Language Models on Surface Information of Tokens
by: Hiraoka, Tatsuya, et al.
Published: (2024)
by: Hiraoka, Tatsuya, et al.
Published: (2024)
Do Repetitions Matter? Strengthening Reliability in LLM Evaluations
by: Gonzalez, Miguel Angel Alvarado, et al.
Published: (2025)
by: Gonzalez, Miguel Angel Alvarado, et al.
Published: (2025)
RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles
by: Nwadike, Munachiso, et al.
Published: (2025)
by: Nwadike, Munachiso, et al.
Published: (2025)
A Neural Model for Word Repetition
by: Dager, Daniel, et al.
Published: (2025)
by: Dager, Daniel, et al.
Published: (2025)
Representational Analysis of Binding in Language Models
by: Dai, Qin, et al.
Published: (2024)
by: Dai, Qin, et al.
Published: (2024)
Cell-Based Representation of Relational Binding in Language Models
by: Dai, Qin, et al.
Published: (2026)
by: Dai, Qin, et al.
Published: (2026)
Understanding In-Context Learning from Repetitions
by: Yan, Jianhao, et al.
Published: (2023)
by: Yan, Jianhao, et al.
Published: (2023)
Tokenization Preference for Human and Machine Learning Model: An Annotation Study
by: Hiraoka, Tatsuya, et al.
Published: (2023)
by: Hiraoka, Tatsuya, et al.
Published: (2023)
Investigating Neurons and Heads in Transformer-based LLMs for Typographical Errors
by: Tsuji, Kohei, et al.
Published: (2025)
by: Tsuji, Kohei, et al.
Published: (2025)
A Computational Cognitive Model for Processing Repetitions of Hierarchical Relations
by: Ren, Zeng, et al.
Published: (2025)
by: Ren, Zeng, et al.
Published: (2025)
TopK Language Models
by: Takahashi, Ryosuke, et al.
Published: (2025)
by: Takahashi, Ryosuke, et al.
Published: (2025)
Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models
by: Paech, Samuel, et al.
Published: (2025)
by: Paech, Samuel, et al.
Published: (2025)
Induction Head Toxicity Mechanistically Explains Repetition Curse in Large Language Models
by: Wang, Shuxun, et al.
Published: (2025)
by: Wang, Shuxun, et al.
Published: (2025)
Large Language Models as Quasi-crystals: Coherence Without Repetition in Generative Text
by: Guevara-Vela, Jose Manuel
Published: (2025)
by: Guevara-Vela, Jose Manuel
Published: (2025)
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context
by: Yu, Sangwon, et al.
Published: (2024)
by: Yu, Sangwon, et al.
Published: (2024)
Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
by: Kukić, Matija Luka, et al.
Published: (2026)
by: Kukić, Matija Luka, et al.
Published: (2026)
Syntactic Learnability of Echo State Neural Language Models at Scale
by: Ueda, Ryo, et al.
Published: (2025)
by: Ueda, Ryo, et al.
Published: (2025)
How Individual Traits and Language Styles Shape Preferences In Open-ended User-LLM Interaction: A Preliminary Study
by: Chevi, Rendi, et al.
Published: (2025)
by: Chevi, Rendi, et al.
Published: (2025)
The Overlooked Repetitive Lengthening Form in Sentiment Analysis
by: Wang, Lei, et al.
Published: (2026)
by: Wang, Lei, et al.
Published: (2026)
Watermarking Needs Input Repetition Masking
by: Khachaturov, David, et al.
Published: (2025)
by: Khachaturov, David, et al.
Published: (2025)
InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition
by: Liu, Fengze, et al.
Published: (2026)
by: Liu, Fengze, et al.
Published: (2026)
On Entity Identification in Language Models
by: Sakata, Masaki, et al.
Published: (2025)
by: Sakata, Masaki, et al.
Published: (2025)
Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge
by: Zhang, Ying, et al.
Published: (2025)
by: Zhang, Ying, et al.
Published: (2025)
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
by: Wang, Weichuan, et al.
Published: (2024)
by: Wang, Weichuan, et al.
Published: (2024)
Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling
by: Aynetdinov, Ansar, et al.
Published: (2026)
by: Aynetdinov, Ansar, et al.
Published: (2026)
Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality
by: Fang, Alex, et al.
Published: (2025)
by: Fang, Alex, et al.
Published: (2025)
Linear Representations of Hierarchical Concepts in Language Models
by: Sakata, Masaki, et al.
Published: (2026)
by: Sakata, Masaki, et al.
Published: (2026)
Prompt Repetition Improves Non-Reasoning LLMs
by: Leviathan, Yaniv, et al.
Published: (2025)
by: Leviathan, Yaniv, et al.
Published: (2025)
Number Representations in LLMs: A Computational Parallel to Human Perception
by: AlquBoj, H. V., et al.
Published: (2025)
by: AlquBoj, H. V., et al.
Published: (2025)
Retrieval Backward Attention without Additional Training: Enhance Embeddings of Large Language Models via Repetition
by: Duan, Yifei, et al.
Published: (2025)
by: Duan, Yifei, et al.
Published: (2025)
Large Language Models Are Human-Like Internally
by: Kuribayashi, Tatsuki, et al.
Published: (2025)
by: Kuribayashi, Tatsuki, et al.
Published: (2025)
Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication
by: Ahmad, Arif, et al.
Published: (2024)
by: Ahmad, Arif, et al.
Published: (2024)
Rethinking Repetition Problems of LLMs in Code Generation
by: Dong, Yihong, et al.
Published: (2025)
by: Dong, Yihong, et al.
Published: (2025)
Similar Items
-
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
by: Doan, Nhi Hoai, et al.
Published: (2025) -
Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters
by: Hiraoka, Tatsuya, et al.
Published: (2025) -
The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces
by: El-Shangiti, Ahmed Oumar, et al.
Published: (2024) -
Repetition Improves Language Model Embeddings
by: Springer, Jacob Mitchell, et al.
Published: (2024) -
Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance
by: Ozaki, Shintaro, et al.
Published: (2025)