Fine-tuning Done Right in Model Editing
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Wanli, Tang, Rui, Zang, Hongyu, Su, Du, Cao, Qi, Wang, Jingang, Shen, Huawei, Cheng, Xueqi, Sun, Fei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Mirage of Model Editing: Revisiting Evaluation in the Wild
by: Yang, Wanli, et al.
Published: (2025)
by: Yang, Wanli, et al.
Published: (2025)
Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs
by: Yang, Wanli, et al.
Published: (2026)
by: Yang, Wanli, et al.
Published: (2026)
Understanding the Collapse of LLMs in Model Editing
by: Yang, Wanli, et al.
Published: (2024)
by: Yang, Wanli, et al.
Published: (2024)
BaseCal: Unsupervised Confidence Calibration via Base Model Signals
by: Tan, Hexiang, et al.
Published: (2026)
by: Tan, Hexiang, et al.
Published: (2026)
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
by: Tan, Hexiang, et al.
Published: (2025)
by: Tan, Hexiang, et al.
Published: (2025)
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
by: Tan, Hexiang, et al.
Published: (2024)
by: Tan, Hexiang, 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)
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
by: Wei, Zihao, et al.
Published: (2024)
by: Wei, Zihao, et al.
Published: (2024)
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
by: Deng, Jingcheng, et al.
Published: (2024)
by: Deng, Jingcheng, et al.
Published: (2024)
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)
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)
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)
ALiiCE: Evaluating Positional Fine-grained Citation Generation
by: Xu, Yilong, et al.
Published: (2024)
by: Xu, Yilong, et al.
Published: (2024)
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)
Batch Speculative Decoding Done Right
by: Zhang, Ranran Haoran, et al.
Published: (2025)
by: Zhang, Ranran Haoran, et al.
Published: (2025)
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)
Qsnail: A Questionnaire Dataset for Sequential Question Generation
by: Lei, Yan, et al.
Published: (2024)
by: Lei, Yan, et al.
Published: (2024)
Learning or Self-aligning? Rethinking Instruction Fine-tuning
by: Ren, Mengjie, et al.
Published: (2024)
by: Ren, Mengjie, et al.
Published: (2024)
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)
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
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)
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
by: Ding, Hanxing, et al.
Published: (2024)
by: Ding, Hanxing, et al.
Published: (2024)
Test-Time Training Done Right
by: Zhang, Tianyuan, et al.
Published: (2025)
by: Zhang, Tianyuan, 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)
Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words
by: Su, Hongyu, et al.
Published: (2025)
by: Su, Hongyu, et al.
Published: (2025)
Fact-Level Confidence Calibration and Self-Correction
by: Yuan, Yige, et al.
Published: (2024)
by: Yuan, Yige, et al.
Published: (2024)
LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer?
by: Cheng, Xueqi, et al.
Published: (2026)
by: Cheng, Xueqi, et al.
Published: (2026)
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks
by: Zhang, Kaike, et al.
Published: (2024)
by: Zhang, Kaike, 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)
Efficient End-to-end Language Model Fine-tuning on Graphs
by: Xue, Rui, et al.
Published: (2023)
by: Xue, Rui, et al.
Published: (2023)
MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching
by: Cui, Wanqing, et al.
Published: (2024)
by: Cui, Wanqing, et al.
Published: (2024)
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)
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
by: Wu, Muling, et al.
Published: (2024)
by: Wu, Muling, et al.
Published: (2024)
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
by: Yang, Wanli, et al.
Published: (2024)
by: Yang, Wanli, et al.
Published: (2024)
Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
by: Wang, Yibo, et al.
Published: (2025)
by: Wang, Yibo, et al.
Published: (2025)
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)
Banking Done Right: Redefining Retail Banking with Language-Centric AI
by: Chua, Xin Jie, et al.
Published: (2025)
by: Chua, Xin Jie, et al.
Published: (2025)
AutoEval Done Right: Using Synthetic Data for Model Evaluation
by: Boyeau, Pierre, et al.
Published: (2024)
by: Boyeau, Pierre, 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)
Efficient Model Editing with Task-Localized Sparse Fine-tuning
by: Iurada, Leonardo, et al.
Published: (2025)
by: Iurada, Leonardo, et al.
Published: (2025)
Similar Items
-
The Mirage of Model Editing: Revisiting Evaluation in the Wild
by: Yang, Wanli, et al.
Published: (2025) -
Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs
by: Yang, Wanli, et al.
Published: (2026) -
Understanding the Collapse of LLMs in Model Editing
by: Yang, Wanli, et al.
Published: (2024) -
BaseCal: Unsupervised Confidence Calibration via Base Model Signals
by: Tan, Hexiang, et al.
Published: (2026) -
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
by: Tan, Hexiang, et al.
Published: (2025)