Knowledge Graph Enhanced Large Language Model Editing
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Mengqi, Ye, Xiaotian, Liu, Qiang, Ren, Pengjie, Wu, Shu, Chen, Zhumin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncovering Overfitting in Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2024)
by: Zhang, Mengqi, et al.
Published: (2024)
Disentangling Knowledge Representations for Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2025)
by: Zhang, Mengqi, et al.
Published: (2025)
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2024)
by: Zhang, Mengqi, 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)
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
by: Wang, Wenyu, et al.
Published: (2025)
by: Wang, Wenyu, et al.
Published: (2025)
Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse
by: Zhang, Chi, et al.
Published: (2026)
by: Zhang, Chi, et al.
Published: (2026)
Self-Supervised Position Debiasing for Large Language Models
by: Liu, Zhongkun, et al.
Published: (2024)
by: Liu, Zhongkun, et al.
Published: (2024)
Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms
by: Ye, Xiaotian, et al.
Published: (2025)
by: Ye, Xiaotian, et al.
Published: (2025)
Uncovering Entity Identity Confusion in Multimodal Knowledge Editing
by: Wu, Shu, et al.
Published: (2026)
by: Wu, Shu, et al.
Published: (2026)
On the Hidden Costs of Counterfactual Knowledge Training in LLM Unlearning
by: Ye, Xiaotian, et al.
Published: (2026)
by: Ye, Xiaotian, et al.
Published: (2026)
ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers
by: Hu, Junyan, et al.
Published: (2024)
by: Hu, Junyan, et al.
Published: (2024)
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)
by: Lyu, Yougang, et al.
Published: (2024)
Evolution without Large Models: Training Language Model with Task Principles
by: Zhu, Minghang, et al.
Published: (2025)
by: Zhu, Minghang, et al.
Published: (2025)
LLM Unlearning Should Be Form-Independent
by: Ye, Xiaotian, et al.
Published: (2025)
by: Ye, Xiaotian, et al.
Published: (2025)
MUSE: Integrating Multi-Knowledge for Knowledge Graph Completion
by: Liu, Pengjie
Published: (2024)
by: Liu, Pengjie
Published: (2024)
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
by: Sun, Weiwei, et al.
Published: (2023)
by: Sun, Weiwei, et al.
Published: (2023)
MUSE: Multi-Knowledge Passing on the Edges, Boosting Knowledge Graph Completion
by: Liu, Pengjie
Published: (2024)
by: Liu, Pengjie
Published: (2024)
MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning
by: Bai, Yi, et al.
Published: (2026)
by: Bai, Yi, et al.
Published: (2026)
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
by: Huang, Han, et al.
Published: (2024)
by: Huang, Han, et al.
Published: (2024)
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
by: Ren, Pengjie, et al.
Published: (2024)
by: Ren, Pengjie, et al.
Published: (2024)
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
by: Shi, Zhengliang, et al.
Published: (2024)
by: Shi, Zhengliang, et al.
Published: (2024)
Enhancing Large Language Models with Reliable Knowledge Graphs
by: Zhang, Qinggang
Published: (2025)
by: Zhang, Qinggang
Published: (2025)
Neighboring Perturbations of Knowledge Editing on Large Language Models
by: Ma, Jun-Yu, et al.
Published: (2024)
by: Ma, Jun-Yu, et al.
Published: (2024)
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
by: Xu, Derong, et al.
Published: (2024)
by: Xu, Derong, et al.
Published: (2024)
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
by: Zhu, Minghang, et al.
Published: (2025)
by: Zhu, Minghang, et al.
Published: (2025)
Self-Adaptive Cognitive Debiasing for Large Language Models in Decision-Making
by: Lyu, Yougang, et al.
Published: (2025)
by: Lyu, Yougang, et al.
Published: (2025)
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
by: Hu, Chenhui, et al.
Published: (2024)
by: Hu, Chenhui, et al.
Published: (2024)
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation
by: Yuan, Dun, et al.
Published: (2025)
by: Yuan, Dun, et al.
Published: (2025)
Knowledge Editing for Large Language Models: A Survey
by: Wang, Song, et al.
Published: (2023)
by: Wang, Song, et al.
Published: (2023)
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
by: Hao, Jitai, et al.
Published: (2024)
by: Hao, Jitai, et al.
Published: (2024)
Mechanistic Circuit-Based Knowledge Editing in Large Language Models
by: Zhao, Tianyi, et al.
Published: (2026)
by: Zhao, Tianyi, et al.
Published: (2026)
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025)
by: Liu, Haochen, et al.
Published: (2025)
Precision Knowledge Editing: Enhancing Safety in Large Language Models
by: Li, Xuying, et al.
Published: (2024)
by: Li, Xuying, et al.
Published: (2024)
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
by: Guo, Tiezheng, et al.
Published: (2023)
by: Guo, Tiezheng, et al.
Published: (2023)
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models
by: Ju, Tianjie, et al.
Published: (2024)
by: Ju, Tianjie, et al.
Published: (2024)
Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble
by: Li, Yongchang, et al.
Published: (2024)
by: Li, Yongchang, et al.
Published: (2024)
Stable Knowledge Editing in Large Language Models
by: Wei, Zihao, et al.
Published: (2024)
by: Wei, Zihao, et al.
Published: (2024)
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
by: Shu, Dong, et al.
Published: (2024)
by: Shu, Dong, et al.
Published: (2024)
Explore-on-Graph: Incentivizing Autonomous Exploration of Large Language Models on Knowledge Graphs with Path-refined Reward Modeling
by: Yan, Shiqi, et al.
Published: (2026)
by: Yan, Shiqi, et al.
Published: (2026)
GeoEdit: Geometric Knowledge Editing for Large Language Models
by: Feng, Yujie, et al.
Published: (2025)
by: Feng, Yujie, et al.
Published: (2025)
Similar Items
-
Uncovering Overfitting in Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2024) -
Disentangling Knowledge Representations for Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2025) -
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2024) -
Uncovering Context Reliance in Unstructured Knowledge Editing
by: Zhou, Zisheng, et al.
Published: (2026) -
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
by: Wang, Wenyu, et al.
Published: (2025)