Stable Knowledge Editing in Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Wei, Zihao, Pang, Liang, Ding, Hanxing, Deng, Jingcheng, Shen, Huawei, Cheng, Xueqi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
por: Wei, Zihao, et al.
Publicado: (2024)
por: Wei, Zihao, et al.
Publicado: (2024)
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
por: Deng, Jingcheng, et al.
Publicado: (2024)
por: Deng, Jingcheng, et al.
Publicado: (2024)
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
por: Ding, Hanxing, et al.
Publicado: (2024)
por: Ding, Hanxing, et al.
Publicado: (2024)
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
por: Ding, Hanxing, et al.
Publicado: (2025)
por: Ding, Hanxing, et al.
Publicado: (2025)
On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs
por: Ding, Hanxing, et al.
Publicado: (2025)
por: Ding, Hanxing, et al.
Publicado: (2025)
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models
por: Gu, Jia, et al.
Publicado: (2026)
por: Gu, Jia, et al.
Publicado: (2026)
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
por: Wu, Kangxi, et al.
Publicado: (2024)
por: Wu, Kangxi, et al.
Publicado: (2024)
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
por: Xu, Shicheng, et al.
Publicado: (2023)
por: Xu, Shicheng, et al.
Publicado: (2023)
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
por: Gu, Jia, et al.
Publicado: (2024)
por: Gu, Jia, et al.
Publicado: (2024)
Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model
por: Xu, Shicheng, et al.
Publicado: (2025)
por: Xu, Shicheng, et al.
Publicado: (2025)
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
por: Deng, Jingcheng, et al.
Publicado: (2025)
por: Deng, Jingcheng, et al.
Publicado: (2025)
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
por: Zhou, Junkai, et al.
Publicado: (2023)
por: Zhou, Junkai, et al.
Publicado: (2023)
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
por: Xu, Shicheng, et al.
Publicado: (2025)
por: Xu, Shicheng, et al.
Publicado: (2025)
LLM Latent Reasoning as Chain of Superposition
por: Deng, Jingcheng, et al.
Publicado: (2025)
por: Deng, Jingcheng, et al.
Publicado: (2025)
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
por: Xu, Shicheng, et al.
Publicado: (2024)
por: Xu, Shicheng, et al.
Publicado: (2024)
Large Language Model Sourcing: A Survey
por: Pang, Liang, et al.
Publicado: (2025)
por: Pang, Liang, et al.
Publicado: (2025)
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
por: Wei, Zihao, et al.
Publicado: (2025)
por: Wei, Zihao, et al.
Publicado: (2025)
Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning
por: Deng, Jingcheng, et al.
Publicado: (2026)
por: Deng, Jingcheng, et al.
Publicado: (2026)
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
por: Xu, Shicheng, et al.
Publicado: (2024)
por: Xu, Shicheng, et al.
Publicado: (2024)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
por: Xu, Shicheng, et al.
Publicado: (2024)
por: Xu, Shicheng, et al.
Publicado: (2024)
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent
por: Zhou, Junkai, et al.
Publicado: (2024)
por: Zhou, Junkai, et al.
Publicado: (2024)
Qsnail: A Questionnaire Dataset for Sequential Question Generation
por: Lei, Yan, et al.
Publicado: (2024)
por: Lei, Yan, et al.
Publicado: (2024)
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
por: Zhu, Yunchang, et al.
Publicado: (2023)
por: Zhu, Yunchang, et al.
Publicado: (2023)
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
por: Xu, Shicheng, et al.
Publicado: (2024)
por: Xu, Shicheng, et al.
Publicado: (2024)
Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject
por: Duan, Zenghao, et al.
Publicado: (2025)
por: Duan, Zenghao, et al.
Publicado: (2025)
The Mirage of Model Editing: Revisiting Evaluation in the Wild
por: Yang, Wanli, et al.
Publicado: (2025)
por: Yang, Wanli, et al.
Publicado: (2025)
Fine-tuning Done Right in Model Editing
por: Yang, Wanli, et al.
Publicado: (2025)
por: Yang, Wanli, et al.
Publicado: (2025)
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models
por: Bi, Baolong, et al.
Publicado: (2024)
por: Bi, Baolong, et al.
Publicado: (2024)
Editing Conceptual Knowledge for Large Language Models
por: Wang, Xiaohan, et al.
Publicado: (2024)
por: Wang, Xiaohan, et al.
Publicado: (2024)
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models
por: Hsueh, Cheng-Hsun, et al.
Publicado: (2024)
por: Hsueh, Cheng-Hsun, et al.
Publicado: (2024)
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images
por: Xu, Shicheng, et al.
Publicado: (2023)
por: Xu, Shicheng, et al.
Publicado: (2023)
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
por: Xu, Yilong, et al.
Publicado: (2025)
por: Xu, Yilong, et al.
Publicado: (2025)
Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble
por: Li, Yongchang, et al.
Publicado: (2024)
por: Li, Yongchang, et al.
Publicado: (2024)
Cross-Lingual Knowledge Editing in Large Language Models
por: Wang, Jiaan, et al.
Publicado: (2023)
por: Wang, Jiaan, et al.
Publicado: (2023)
When to Trust LLMs: Aligning Confidence with Response Quality
por: Tao, Shuchang, et al.
Publicado: (2024)
por: Tao, Shuchang, et al.
Publicado: (2024)
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
por: Bi, Baolong, et al.
Publicado: (2024)
por: Bi, Baolong, et al.
Publicado: (2024)
Knowledge Graph Enhanced Large Language Model Editing
por: Zhang, Mengqi, et al.
Publicado: (2024)
por: Zhang, Mengqi, et al.
Publicado: (2024)
Neighboring Perturbations of Knowledge Editing on Large Language Models
por: Ma, Jun-Yu, et al.
Publicado: (2024)
por: Ma, Jun-Yu, et al.
Publicado: (2024)
Benchmarking and Rethinking Knowledge Editing for Large Language Models
por: He, Guoxiu, et al.
Publicado: (2025)
por: He, Guoxiu, et al.
Publicado: (2025)
Disentangling Knowledge Representations for Large Language Model Editing
por: Zhang, Mengqi, et al.
Publicado: (2025)
por: Zhang, Mengqi, et al.
Publicado: (2025)
Ejemplares similares
-
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
por: Wei, Zihao, et al.
Publicado: (2024) -
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
por: Deng, Jingcheng, et al.
Publicado: (2024) -
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
por: Ding, Hanxing, et al.
Publicado: (2024) -
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
por: Ding, Hanxing, et al.
Publicado: (2025) -
On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs
por: Ding, Hanxing, et al.
Publicado: (2025)