Diagnosing Model Editing via Knowledge Spectrum
Fuente:
arXiv
Saved in:
| Main Authors: | Pan, Tsung-Hsuan, Chen, Chung-Chi, Huang, Hen-Hsen, Chen, Hsin-Hsi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
"Why" Has the Least Side Effect on Model Editing
by: Pan, Tsung-Hsuan, et al.
Published: (2024)
by: Pan, Tsung-Hsuan, et al.
Published: (2024)
Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls
by: Juan, Yining, et al.
Published: (2024)
by: Juan, Yining, et al.
Published: (2024)
Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction
by: Chiu, Chr-Jr, et al.
Published: (2024)
by: Chiu, Chr-Jr, et al.
Published: (2024)
Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning
by: Chen, Po-Chun, et al.
Published: (2026)
by: Chen, Po-Chun, et al.
Published: (2026)
Strategy-Induct: Task-Level Strategy Induction for Instruction Generation
by: Chen, Po-Chun, et al.
Published: (2026)
by: Chen, Po-Chun, et al.
Published: (2026)
From Opinion Mining to Financial Argument Mining
by: Chen, Chung-Chi, et al.
Published: (2021)
by: Chen, Chung-Chi, et al.
Published: (2021)
Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis
by: Chen, Chung-Chi, et al.
Published: (2024)
by: Chen, Chung-Chi, et al.
Published: (2024)
No One Fits All: From Fixed Prompting to Learned Routing in Multilingual LLMs
by: Wu, Wei-Chi, et al.
Published: (2026)
by: Wu, Wei-Chi, et al.
Published: (2026)
Personalized Graph-Empowered Large Language Model for Proactive Information Access
by: Chang, Chia Cheng, et al.
Published: (2026)
by: Chang, Chia Cheng, et al.
Published: (2026)
Democratizing LLM Efficiency: From Hyperscale Optimizations to Universal Deployability
by: Huang, Hen-Hsen
Published: (2025)
by: Huang, Hen-Hsen
Published: (2025)
Beyond Known Facts: Generating Unseen Temporal Knowledge to Address Data Contamination in LLM Evaluation
by: Amalvy, Arthur, et al.
Published: (2026)
by: Amalvy, Arthur, et al.
Published: (2026)
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models
by: Wei, Sheng-Lun, et al.
Published: (2024)
by: Wei, Sheng-Lun, et al.
Published: (2024)
Visual Lifelog Retrieval through Captioning-Enhanced Interpretation
by: Shih, Yu-Fei, et al.
Published: (2025)
by: Shih, Yu-Fei, et al.
Published: (2025)
Do Before You Judge: Self-Reference as a Pathway to Better LLM Evaluation
by: Lin, Wei-Hsiang, et al.
Published: (2025)
by: Lin, Wei-Hsiang, et al.
Published: (2025)
Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations
by: Wei, Sheng-Lun, et al.
Published: (2026)
by: Wei, Sheng-Lun, et al.
Published: (2026)
Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge Tasks
by: Chan, Brian J, et al.
Published: (2024)
by: Chan, Brian J, et al.
Published: (2024)
Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing
by: Amalvy, Arthur, et al.
Published: (2026)
by: Amalvy, Arthur, et al.
Published: (2026)
AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
by: Yeh, Cheng-Kai, et al.
Published: (2025)
by: Yeh, Cheng-Kai, et al.
Published: (2025)
Evaluating Large Language Models as Expert Annotators
by: Tseng, Yu-Min, et al.
Published: (2025)
by: Tseng, Yu-Min, et al.
Published: (2025)
Are Expert-Level Language Models Expert-Level Annotators?
by: Tseng, Yu-Min, et al.
Published: (2024)
by: Tseng, Yu-Min, et al.
Published: (2024)
Efficient Beam Search for Large Language Models Using Trie-Based Decoding
by: Chan, Brian J, et al.
Published: (2025)
by: Chan, Brian J, et al.
Published: (2025)
DINA: A Dual Defense Framework Against Internal Noise and External Attacks in Natural Language Processing
by: Chuang, Ko-Wei, et al.
Published: (2025)
by: Chuang, Ko-Wei, et al.
Published: (2025)
Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties
by: Tang, Zixin, et al.
Published: (2025)
by: Tang, Zixin, et al.
Published: (2025)
GADFA: Generator-Assisted Decision-Focused Approach for Opinion Expressing Timing Identification
by: Chen, Chung-Chi, et al.
Published: (2024)
by: Chen, Chung-Chi, 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 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)
Mechanistic Circuit-Based Knowledge Editing in Large Language Models
by: Zhao, Tianyi, et al.
Published: (2026)
by: Zhao, Tianyi, et al.
Published: (2026)
Can Knowledge Editing Really Correct Hallucinations?
by: Huang, Baixiang, et al.
Published: (2024)
by: Huang, Baixiang, et al.
Published: (2024)
ESGLens: An LLM-Based RAG Framework for Interactive ESG Report Analysis and Score Prediction
by: Yang, Tsung-Yu, et al.
Published: (2026)
by: Yang, Tsung-Yu, et al.
Published: (2026)
Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization
by: Nafee, Mahmud Wasif, et al.
Published: (2025)
by: Nafee, Mahmud Wasif, et al.
Published: (2025)
MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
by: Zhong, Zexuan, et al.
Published: (2023)
by: Zhong, Zexuan, et al.
Published: (2023)
KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning
by: Luo, Yinyi, et al.
Published: (2025)
by: Luo, Yinyi, 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)
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)
Knowledge Graph Enhanced Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2024)
by: Zhang, Mengqi, et al.
Published: (2024)
Editing Knowledge Representation of Language Model via Rephrased Prefix Prompts
by: Cai, Yuchen, et al.
Published: (2024)
by: Cai, Yuchen, et al.
Published: (2024)
On the Robustness of Knowledge Editing for Detoxification
by: Dong, Ming, et al.
Published: (2026)
by: Dong, Ming, et al.
Published: (2026)
Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing
by: Chen, Shigeng, et al.
Published: (2025)
by: Chen, Shigeng, 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)
Disentangling Knowledge Representations for Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2025)
by: Zhang, Mengqi, et al.
Published: (2025)
Similar Items
-
"Why" Has the Least Side Effect on Model Editing
by: Pan, Tsung-Hsuan, et al.
Published: (2024) -
Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls
by: Juan, Yining, et al.
Published: (2024) -
Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction
by: Chiu, Chr-Jr, et al.
Published: (2024) -
Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning
by: Chen, Po-Chun, et al.
Published: (2026) -
Strategy-Induct: Task-Level Strategy Induction for Instruction Generation
by: Chen, Po-Chun, et al.
Published: (2026)