Cover Image

Understanding the Repeat Curse in Large Language Models from a Feature Perspective

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yao, Junchi, Yang, Shu, Xu, Jianhua, Hu, Lijie, Li, Mengdi, Wang, Di
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images
by: You, Liangliang, et al.
Published: (2025)

Word Recovery in Large Language Models Enables Character-Level Tokenization Robustness
by: Yang, Zhipeng, et al.
Published: (2026)

Exploring the Personality Traits of LLMs through Latent Features Steering
by: Yang, Shu, et al.
Published: (2024)

Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
by: Li, Tong, et al.
Published: (2025)

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
by: Yang, Shu, et al.
Published: (2025)

Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025)

UGID: Unified Graph Isomorphism for Debiasing Large Language Models
by: Ding, Zikang, et al.
Published: (2026)

Understanding Reasoning in Chain-of-Thought from the Hopfieldian View
by: Hu, Lijie, et al.
Published: (2024)

The Compositional Architecture of Regret in Large Language Models
by: Cui, Xiangxiang, et al.
Published: (2025)

Understanding How Value Neurons Shape the Generation of Specified Values in LLMs
by: Su, Yi, et al.
Published: (2025)

Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives
by: Liu, Yajiao, et al.
Published: (2025)

Multilingual Large Language Models and Curse of Multilinguality
by: Gurgurov, Daniil, et al.
Published: (2024)

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons
by: Dong, Wenshuo, et al.
Published: (2025)

Dissecting Fine-Tuning Unlearning in Large Language Models
by: Hong, Yihuai, et al.
Published: (2024)

Faithful-Patchscopes: Understanding and Mitigating Model Bias in Hidden Representations Explanation of Large Language Models
by: Gong, Xilin, et al.
Published: (2026)

WenyanGPT: A Large Language Model for Classical Chinese Tasks
by: Yao, Xinyu, et al.
Published: (2025)

Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models
by: Zhang, Jiayi, et al.
Published: (2025)

DiffER: Diffusion Entity-Relation Modeling for Reversal Curse in Diffusion Large Language Models
by: He, Shaokai, et al.
Published: (2026)

Induction Head Toxicity Mechanistically Explains Repetition Curse in Large Language Models
by: Wang, Shuxun, et al.
Published: (2025)

MONAL: Model Autophagy Analysis for Modeling Human-AI Interactions
by: Yang, Shu, et al.
Published: (2024)

Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs
by: Yang, Shu, et al.
Published: (2024)

Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?
by: Jiang, Jin, et al.
Published: (2025)

Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
by: Guo, Qingyan, et al.
Published: (2024)

Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering
by: Li, Yangyi, et al.
Published: (2025)

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
by: Lin, Zhengkai, et al.
Published: (2024)

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
by: Wang, Yinjie, et al.
Published: (2025)

Additive Multi-Step Markov Chains and the Curse of Dimensionality in Large Language Models
by: Usatenko, O. V., et al.
Published: (2026)

AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
by: Wei, Yuting, et al.
Published: (2024)

When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models
by: Wang, Keyu, et al.
Published: (2025)

Private Language Models via Truncated Laplacian Mechanism
by: Huang, Tianhao, et al.
Published: (2024)

Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models
by: Blevins, Terra, et al.
Published: (2024)

Benford's Curse: Tracing Digit Bias to Numerical Hallucination in LLMs
by: Shao, Jiandong, et al.
Published: (2025)

Exploring the Reversal Curse and Other Deductive Logical Reasoning in BERT and GPT-Based Large Language Models
by: Wu, Da, et al.
Published: (2023)

Evaluating the Reversal Curse in Model Editing
by: Xu, Hao-Xiang, et al.
Published: (2023)

Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
by: Wang, Jianing, et al.
Published: (2025)

A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning
by: Hu, Lijie, et al.
Published: (2024)

An Unforgeable Publicly Verifiable Watermark for Large Language Models
by: Liu, Aiwei, et al.
Published: (2023)

CODEMENV: Benchmarking Large Language Models on Code Migration
by: Cheng, Keyuan, et al.
Published: (2025)

What Gets Activated: Uncovering Domain and Driver Experts in MoE Language Models
by: Hu, Guimin, et al.
Published: (2026)

Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models
by: Wu, Haotian, et al.
Published: (2025)