Multi-Objective Large Language Model Unlearning
Fuente:
arXiv
Saved in:
| Main Authors: | Pan, Zibin, Zhang, Shuwen, Zheng, Yuesheng, Li, Chi, Cheng, Yuheng, Zhao, Junhua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
by: Cao, Yuji, et al.
Published: (2024)
by: Cao, Yuji, et al.
Published: (2024)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
Federated Unlearning with Gradient Descent and Conflict Mitigation
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
by: Lin, Yujie, et al.
Published: (2026)
by: Lin, Yujie, et al.
Published: (2026)
Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models
by: Li, Chengao, et al.
Published: (2025)
by: Li, Chengao, et al.
Published: (2025)
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
by: Tang, Haoyu, et al.
Published: (2024)
by: Tang, Haoyu, et al.
Published: (2024)
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
by: Jin, Zhuoran, et al.
Published: (2024)
by: Jin, Zhuoran, et al.
Published: (2024)
Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025)
by: Li, Hongji, et al.
Published: (2025)
Soft Prompting for Unlearning in Large Language Models
by: Bhaila, Karuna, et al.
Published: (2024)
by: Bhaila, Karuna, 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)
A Closer Look at Machine Unlearning for Large Language Models
by: Yuan, Xiaojian, et al.
Published: (2024)
by: Yuan, Xiaojian, et al.
Published: (2024)
Existing Large Language Model Unlearning Evaluations Are Inconclusive
by: Feng, Zhili, et al.
Published: (2025)
by: Feng, Zhili, 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)
Large Language Model Unlearning via Embedding-Corrupted Prompts
by: Liu, Chris Yuhao, et al.
Published: (2024)
by: Liu, Chris Yuhao, et al.
Published: (2024)
Pareto Multi-Objective Alignment for Language Models
by: He, Qiang, et al.
Published: (2025)
by: He, Qiang, et al.
Published: (2025)
Machine Unlearning of Pre-trained Large Language Models
by: Yao, Jin, et al.
Published: (2024)
by: Yao, Jin, et al.
Published: (2024)
GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
by: Niu, Peizhi, et al.
Published: (2025)
by: Niu, Peizhi, et al.
Published: (2025)
Learning Multi-Indicator Weights for Data Selection: A Joint Task-Model Adaptation Framework with Efficient Proxies
by: Song, Jingze, et al.
Published: (2026)
by: Song, Jingze, et al.
Published: (2026)
AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
by: Zhao, Mengnan, et al.
Published: (2024)
by: Zhao, Mengnan, et al.
Published: (2024)
One Model for All: Multi-Objective Controllable Language Models
by: He, Qiang, et al.
Published: (2026)
by: He, Qiang, et al.
Published: (2026)
Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models
by: Gu, Xiaojie, et al.
Published: (2026)
by: Gu, Xiaojie, et al.
Published: (2026)
FIT to Forget: Robust Continual Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2026)
by: Xu, Xiaoyu, et al.
Published: (2026)
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)
by: Yuan, Hongbang, et al.
Published: (2024)
Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models
by: Gu, Kang, et al.
Published: (2024)
by: Gu, Kang, et al.
Published: (2024)
Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
by: Entesari, Taha, et al.
Published: (2025)
by: Entesari, Taha, et al.
Published: (2025)
Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models
by: Yu, Chenxiao, et al.
Published: (2024)
by: Yu, Chenxiao, et al.
Published: (2024)
$\text{M}^{2}$LLM: Multi-view Molecular Representation Learning with Large Language Models
by: Ju, Jiaxin, et al.
Published: (2025)
by: Ju, Jiaxin, et al.
Published: (2025)
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
by: Barbulescu, George-Octavian, et al.
Published: (2024)
by: Barbulescu, George-Octavian, et al.
Published: (2024)
Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)
by: Baumann, Jill, et al.
Published: (2024)
Multi-Objective Reinforcement Learning for Large Language Model Optimization: Visionary Perspective
by: Kong, Lingxiao, et al.
Published: (2025)
by: Kong, Lingxiao, et al.
Published: (2025)
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
by: Tian, Bozhong, et al.
Published: (2024)
by: Tian, Bozhong, et al.
Published: (2024)
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
by: Wang, Zixiang, et al.
Published: (2024)
by: Wang, Zixiang, et al.
Published: (2024)
Large Language Models Explore by Latent Distilling
by: Zeng, Yuanhao, et al.
Published: (2026)
by: Zeng, Yuanhao, et al.
Published: (2026)
SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
by: Xu, Tianyang, et al.
Published: (2025)
by: Xu, Tianyang, et al.
Published: (2025)
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
by: Zheng, Huaixiu Steven, et al.
Published: (2023)
by: Zheng, Huaixiu Steven, et al.
Published: (2023)
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2025)
by: Xu, Xiaoyu, et al.
Published: (2025)
Geometric-disentangelment Unlearning
by: Zhou, Duo, et al.
Published: (2025)
by: Zhou, Duo, et al.
Published: (2025)
Tool Unlearning for Tool-Augmented LLMs
by: Cheng, Jiali, et al.
Published: (2025)
by: Cheng, Jiali, et al.
Published: (2025)
Similar Items
-
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
by: Cao, Yuji, et al.
Published: (2024) -
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024) -
Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023) -
A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty
by: Feng, Xiaohua, et al.
Published: (2025) -
Federated Unlearning with Gradient Descent and Conflict Mitigation
by: Pan, Zibin, et al.
Published: (2024)