Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Deng, Jingcheng, Wei, Zihao, Pang, Liang, Ding, Hanxing, Shen, Huawei, Cheng, Xueqi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stable Knowledge Editing in Large Language Models
by: Wei, Zihao, et al.
Published: (2024)
by: Wei, Zihao, et al.
Published: (2024)
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
by: Wei, Zihao, et al.
Published: (2024)
by: Wei, Zihao, et al.
Published: (2024)
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
by: Ding, Hanxing, et al.
Published: (2024)
by: Ding, Hanxing, et al.
Published: (2024)
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
by: Ding, Hanxing, et al.
Published: (2025)
by: Ding, Hanxing, et al.
Published: (2025)
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
by: Wu, Kangxi, et al.
Published: (2024)
by: Wu, Kangxi, et al.
Published: (2024)
On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs
by: Ding, Hanxing, et al.
Published: (2025)
by: Ding, Hanxing, et al.
Published: (2025)
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models
by: Gu, Jia, et al.
Published: (2026)
by: Gu, Jia, et al.
Published: (2026)
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
by: Xu, Shicheng, et al.
Published: (2023)
by: Xu, Shicheng, et al.
Published: (2023)
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
by: Gu, Jia, et al.
Published: (2024)
by: Gu, Jia, et al.
Published: (2024)
Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model
by: Xu, Shicheng, et al.
Published: (2025)
by: Xu, Shicheng, et al.
Published: (2025)
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
by: Deng, Jingcheng, et al.
Published: (2025)
by: Deng, Jingcheng, et al.
Published: (2025)
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
by: Zhou, Junkai, et al.
Published: (2023)
by: Zhou, Junkai, et al.
Published: (2023)
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
by: Xu, Shicheng, et al.
Published: (2025)
by: Xu, Shicheng, et al.
Published: (2025)
LLM Latent Reasoning as Chain of Superposition
by: Deng, Jingcheng, et al.
Published: (2025)
by: Deng, Jingcheng, et al.
Published: (2025)
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Large Language Model Sourcing: A Survey
by: Pang, Liang, et al.
Published: (2025)
by: Pang, Liang, et al.
Published: (2025)
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
by: Wei, Zihao, et al.
Published: (2025)
by: Wei, Zihao, et al.
Published: (2025)
Latent-GRPO: Group Relative Policy Optimization for Latent Reasoning
by: Deng, Jingcheng, et al.
Published: (2026)
by: Deng, Jingcheng, et al.
Published: (2026)
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent
by: Zhou, Junkai, et al.
Published: (2024)
by: Zhou, Junkai, et al.
Published: (2024)
Qsnail: A Questionnaire Dataset for Sequential Question Generation
by: Lei, Yan, et al.
Published: (2024)
by: Lei, Yan, et al.
Published: (2024)
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
by: Zhu, Yunchang, et al.
Published: (2023)
by: Zhu, Yunchang, et al.
Published: (2023)
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject
by: Duan, Zenghao, et al.
Published: (2025)
by: Duan, Zenghao, et al.
Published: (2025)
$μ$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models
by: Su, Zian, et al.
Published: (2025)
by: Su, Zian, et al.
Published: (2025)
The Mirage of Model Editing: Revisiting Evaluation in the Wild
by: Yang, Wanli, et al.
Published: (2025)
by: Yang, Wanli, et al.
Published: (2025)
Fine-tuning Done Right in Model Editing
by: Yang, Wanli, et al.
Published: (2025)
by: Yang, Wanli, et al.
Published: (2025)
Language Modeling with Editable External Knowledge
by: Li, Belinda Z., et al.
Published: (2024)
by: Li, Belinda Z., et al.
Published: (2024)
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models
by: Bi, Baolong, et al.
Published: (2024)
by: Bi, Baolong, et al.
Published: (2024)
Uncovering Context Reliance in Unstructured Knowledge Editing
by: Zhou, Zisheng, et al.
Published: (2026)
by: Zhou, Zisheng, et al.
Published: (2026)
Editing Conceptual Knowledge for Large Language Models
by: Wang, Xiaohan, et al.
Published: (2024)
by: Wang, Xiaohan, et al.
Published: (2024)
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models
by: Hsueh, Cheng-Hsun, et al.
Published: (2024)
by: Hsueh, Cheng-Hsun, et al.
Published: (2024)
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images
by: Xu, Shicheng, et al.
Published: (2023)
by: Xu, Shicheng, et al.
Published: (2023)
Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data
by: Xiong, Hao, et al.
Published: (2025)
by: Xiong, Hao, et al.
Published: (2025)
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
by: Xu, Yilong, et al.
Published: (2025)
by: Xu, Yilong, et al.
Published: (2025)
Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble
by: Li, Yongchang, et al.
Published: (2024)
by: Li, Yongchang, et al.
Published: (2024)
Cross-Lingual Knowledge Editing in Large Language Models
by: Wang, Jiaan, et al.
Published: (2023)
by: Wang, Jiaan, et al.
Published: (2023)
When to Trust LLMs: Aligning Confidence with Response Quality
by: Tao, Shuchang, et al.
Published: (2024)
by: Tao, Shuchang, et al.
Published: (2024)
SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
by: Liu, Shicheng, et al.
Published: (2023)
by: Liu, Shicheng, et al.
Published: (2023)
Similar Items
-
Stable Knowledge Editing in Large Language Models
by: Wei, Zihao, et al.
Published: (2024) -
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
by: Wei, Zihao, et al.
Published: (2024) -
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
by: Ding, Hanxing, et al.
Published: (2024) -
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
by: Ding, Hanxing, et al.
Published: (2025) -
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
by: Wu, Kangxi, et al.
Published: (2024)