Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Gu, Xiaojie, Chen, Guangxu, Yang, Yuheng, Han, Jingxin, Zhang, Andi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models
by: Gu, Xiaojie, et al.
Published: (2025)
by: Gu, Xiaojie, et al.
Published: (2025)
Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
by: Zhang, Rongzhi, et al.
Published: (2025)
by: Zhang, Rongzhi, et al.
Published: (2025)
Psychological Counseling Ability of Large Language Models
by: Peng, Fangyu, et al.
Published: (2025)
by: Peng, Fangyu, et al.
Published: (2025)
The Model Agreed, But Didn't Learn: Diagnosing Surface Compliance in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)
by: Gu, Xiaojie, et al.
Published: (2026)
Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models
by: Liu, Xin, et al.
Published: (2025)
by: Liu, Xin, et al.
Published: (2025)
PMET: Precise Model Editing in a Transformer
by: Li, Xiaopeng, et al.
Published: (2023)
by: Li, Xiaopeng, et al.
Published: (2023)
Multiplicative Orthogonal Sequential Editing for Language Models
by: Xu, Hao-Xiang, et al.
Published: (2026)
by: Xu, Hao-Xiang, et al.
Published: (2026)
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
by: Zhang, Shaolei, et al.
Published: (2024)
by: Zhang, Shaolei, et al.
Published: (2024)
Hierarchical Federated Unlearning for Large Language Models
by: Zhong, Yisheng, et al.
Published: (2025)
by: Zhong, Yisheng, et al.
Published: (2025)
Editing Conceptual Knowledge for Large Language Models
by: Wang, Xiaohan, et al.
Published: (2024)
by: Wang, Xiaohan, et al.
Published: (2024)
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
by: Zhang, Andi, et al.
Published: (2024)
by: Zhang, Andi, et al.
Published: (2024)
Constraining Sequential Model Editing with Editing Anchor Compression
by: Xu, Hao-Xiang, et al.
Published: (2025)
by: Xu, Hao-Xiang, et al.
Published: (2025)
Multi-Objective Large Language Model Unlearning
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)
by: Gu, Xiaojie, et al.
Published: (2026)
Knowledge Editing on Black-box Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2024)
by: Song, Xiaoshuai, et al.
Published: (2024)
Spectral Editing of Activations for Large Language Model Alignment
by: Qiu, Yifu, et al.
Published: (2024)
by: Qiu, Yifu, et al.
Published: (2024)
Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)
LOLA -- An Open-Source Massively Multilingual Large Language Model
by: Srivastava, Nikit, et al.
Published: (2024)
by: Srivastava, Nikit, et al.
Published: (2024)
PoPE: Legendre Orthogonal Polynomials Based Position Encoding for Large Language Models
by: Aggarwal, Arpit
Published: (2024)
by: Aggarwal, Arpit
Published: (2024)
The Geometry of Categorical and Hierarchical Concepts in Large Language Models
by: Park, Kiho, et al.
Published: (2024)
by: Park, Kiho, et al.
Published: (2024)
Emergence of Hierarchical Emotion Organization in Large Language Models
by: Zhao, Bo, et al.
Published: (2025)
by: Zhao, Bo, et al.
Published: (2025)
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
by: Deng, Yihe, et al.
Published: (2023)
by: Deng, Yihe, et al.
Published: (2023)
Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts
by: Lee, Sang-Woo, et al.
Published: (2025)
by: Lee, Sang-Woo, et al.
Published: (2025)
Orthogonal Finetuning for Direct Preference Optimization
by: Yang, Chenxu, et al.
Published: (2024)
by: Yang, Chenxu, et al.
Published: (2024)
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
by: Gu, Yuxian, et al.
Published: (2025)
by: Gu, Yuxian, et al.
Published: (2025)
Causality for Large Language Models
by: Wu, Anpeng, et al.
Published: (2024)
by: Wu, Anpeng, et al.
Published: (2024)
AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field
by: Liang, Chen, et al.
Published: (2025)
by: Liang, Chen, et al.
Published: (2025)
Editing Personality for Large Language Models
by: Mao, Shengyu, et al.
Published: (2023)
by: Mao, Shengyu, et al.
Published: (2023)
An Evaluation on Large Language Model Outputs: Discourse and Memorization
by: de Wynter, Adrian, et al.
Published: (2023)
by: de Wynter, Adrian, et al.
Published: (2023)
Accelerated Preference Optimization for Large Language Model Alignment
by: He, Jiafan, et al.
Published: (2024)
by: He, Jiafan, et al.
Published: (2024)
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models
by: Guan, Ziyi, et al.
Published: (2024)
by: Guan, Ziyi, et al.
Published: (2024)
Unveiling the Pitfalls of Knowledge Editing for Large Language Models
by: Li, Zhoubo, et al.
Published: (2023)
by: Li, Zhoubo, et al.
Published: (2023)
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models
by: Guo, Jiawei, et al.
Published: (2024)
by: Guo, Jiawei, et al.
Published: (2024)
On Calibration of Large Language Models: From Response To Capability
by: Yang, Sin-Han, et al.
Published: (2026)
by: Yang, Sin-Han, et al.
Published: (2026)
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit
by: Gong, Ruihao, et al.
Published: (2024)
by: Gong, Ruihao, et al.
Published: (2024)
Large Language Model Reasoning Failures
by: Song, Peiyang, et al.
Published: (2026)
by: Song, Peiyang, et al.
Published: (2026)
Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models
by: Chen, Pin-Yu, et al.
Published: (2025)
by: Chen, Pin-Yu, et al.
Published: (2025)
Analyzing And Editing Inner Mechanisms Of Backdoored Language Models
by: Lamparth, Max, et al.
Published: (2023)
by: Lamparth, Max, et al.
Published: (2023)
Large Language Models as Optimizers
by: Yang, Chengrun, et al.
Published: (2023)
by: Yang, Chengrun, et al.
Published: (2023)
Similar Items
-
UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models
by: Gu, Xiaojie, et al.
Published: (2025) -
Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
by: Zhang, Rongzhi, et al.
Published: (2025) -
Psychological Counseling Ability of Large Language Models
by: Peng, Fangyu, et al.
Published: (2025) -
The Model Agreed, But Didn't Learn: Diagnosing Surface Compliance in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026) -
Latent Knowledge Scalpel: Precise and Massive Knowledge Editing for Large Language Models
by: Liu, Xin, et al.
Published: (2025)