Cover Image

Can Knowledge Editing Really Correct Hallucinations?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Baixiang, Chen, Canyu, Xu, Xiongxiao, Payani, Ali, Shu, Kai
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Large Language Models Identify Authorship?
by: Huang, Baixiang, et al.
Published: (2024)

Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation
by: Wang, Haoran, et al.
Published: (2025)

Can Editing LLMs Inject Harm?
by: Chen, Canyu, et al.
Published: (2024)

Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm
by: Huang, Baixiang, et al.
Published: (2025)

Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
by: Huang, Baixiang, et al.
Published: (2024)

Can LLM-Generated Misinformation Be Detected?
by: Chen, Canyu, et al.
Published: (2023)

Benchmarking LLMs for Political Science: A United Nations Perspective
by: Liang, Yueqing, et al.
Published: (2025)

Can Multimodal LLMs Perform Time Series Anomaly Detection?
by: Xu, Xiongxiao, et al.
Published: (2025)

Towards Effective Model Editing for LLM Personalization
by: Huang, Baixiang, et al.
Published: (2025)

SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
by: Xu, Xiongxiao, et al.
Published: (2024)

MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection
by: Xu, Xiongxiao, et al.
Published: (2023)

Large Language Models Can Learn Temporal Reasoning
by: Xiong, Siheng, et al.
Published: (2024)

Taxonomy-Guided Zero-Shot Recommendations with LLMs
by: Liang, Yueqing, et al.
Published: (2024)

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
by: Chen, Canyu, et al.
Published: (2024)

Can LLMs Reason in the Wild with Programs?
by: Yang, Yuan, et al.
Published: (2024)

Piecing It All Together: Verifying Multi-Hop Multimodal Claims
by: Wang, Haoran, et al.
Published: (2024)

TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning
by: Xiong, Siheng, et al.
Published: (2023)

MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance
by: Peper, Joseph J., et al.
Published: (2025)

Enhancing Long Chain-of-Thought Reasoning through Multi-Path Plan Aggregation
by: Xiong, Siheng, et al.
Published: (2025)

Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning
by: Beigi, Alimohammad, et al.
Published: (2024)

Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
by: Vladika, Juraj, et al.
Published: (2025)

Can Hallucination Correction Improve Video-Language Alignment?
by: Zhao, Lingjun, et al.
Published: (2025)

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
by: Nguyen, Dang, et al.
Published: (2025)

Knowledge Graph Enhanced Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2024)

Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey
by: Agrawal, Garima, et al.
Published: (2023)

What Really is Commonsense Knowledge?
by: Do, Quyet V., et al.
Published: (2024)

Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory
by: Tao, Xingjian, et al.
Published: (2024)

KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning
by: Luo, Yinyi, et al.
Published: (2025)

Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
by: Xiong, Siheng, et al.
Published: (2024)

Diagnosing Model Editing via Knowledge Spectrum
by: Pan, Tsung-Hsuan, et al.
Published: (2025)

Knowledge Verification to Nip Hallucination in the Bud
by: Wan, Fanqi, et al.
Published: (2024)

DeepEdit: Knowledge Editing as Decoding with Constraints
by: Wang, Yiwei, et al.
Published: (2024)

Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?
by: Geigle, Gregor, et al.
Published: (2024)

How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $τ$-bench
by: Mishra, Venkatesh, et al.
Published: (2025)

CLEAR: Can Language Models Really Understand Causal Graphs?
by: Chen, Sirui, 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)

Fine-grained Hallucination Detection and Editing for Language Models
by: Mishra, Abhika, et al.
Published: (2024)

On the Robustness of Knowledge Editing for Detoxification
by: Dong, Ming, et al.
Published: (2026)

Can LLMs Detect Their Own Hallucinations?
by: Kadotani, Sora, et al.
Published: (2025)

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
by: Liu, Yuchi, et al.
Published: (2024)