Saved in:
| Main Authors: | Sondej, Filip, Yang, Yushi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.11816 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization
by: Sondej, Filip, et al.
Published: (2025)
by: Sondej, Filip, et al.
Published: (2025)
How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis
by: Yang, Yushi, et al.
Published: (2024)
by: Yang, Yushi, et al.
Published: (2024)
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
by: Yang, Minglai, et al.
Published: (2025)
by: Yang, Minglai, et al.
Published: (2025)
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
by: Zhang, Ruiqi, et al.
Published: (2024)
by: Zhang, Ruiqi, et al.
Published: (2024)
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
by: Ghoshal, Asish, et al.
Published: (2022)
by: Ghoshal, Asish, et al.
Published: (2022)
Explainable LLM Unlearning Through Reasoning
by: Liao, Junfeng, et al.
Published: (2026)
by: Liao, Junfeng, et al.
Published: (2026)
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
by: Chen, Zheng, et al.
Published: (2025)
by: Chen, Zheng, et al.
Published: (2025)
LLM Unlearning Without an Expert Curated Dataset
by: Zhu, Xiaoyuan, et al.
Published: (2025)
by: Zhu, Xiaoyuan, et al.
Published: (2025)
LLM Unlearning via Loss Adjustment with Only Forget Data
by: Wang, Yaxuan, et al.
Published: (2024)
by: Wang, Yaxuan, et al.
Published: (2024)
DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
by: Wang, Yaxuan, et al.
Published: (2025)
by: Wang, Yaxuan, et al.
Published: (2025)
Measuring the Depth of LLM Unlearning via Activation Patching
by: Lee, Jaeung, et al.
Published: (2026)
by: Lee, Jaeung, et al.
Published: (2026)
Can sparse autoencoders be used to decompose and interpret steering vectors?
by: Mayne, Harry, et al.
Published: (2024)
by: Mayne, Harry, et al.
Published: (2024)
Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
by: Wu, Xiaoyu, et al.
Published: (2025)
by: Wu, Xiaoyu, et al.
Published: (2025)
Scaling with Collapse: Efficient and Predictable Training of LLM Families
by: Bergsma, Shane, et al.
Published: (2025)
by: Bergsma, Shane, et al.
Published: (2025)
CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models
by: Kocak, Aysenur, et al.
Published: (2025)
by: Kocak, Aysenur, et al.
Published: (2025)
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
by: Lin, Yujie, et al.
Published: (2026)
by: Lin, Yujie, et al.
Published: (2026)
Reveal and Release: Iterative LLM Unlearning with Self-generated Data
by: Xie, Linxi, et al.
Published: (2025)
by: Xie, Linxi, et al.
Published: (2025)
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
by: Fan, Chongyu, et al.
Published: (2024)
by: Fan, Chongyu, et al.
Published: (2024)
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements
by: Zhao, Guangxiang, et al.
Published: (2025)
by: Zhao, Guangxiang, et al.
Published: (2025)
Input-Time Scaling: Adding Noise and Irrelevance into Less-Is-More Drastically Improves Reasoning Performance and Efficiency
by: Huang, Rapheal, et al.
Published: (2025)
by: Huang, Rapheal, et al.
Published: (2025)
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)
Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
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)
CURE:Circuit-Aware Unlearning for LLM-based Recommendation
by: Chen, Ziheng, et al.
Published: (2026)
by: Chen, Ziheng, et al.
Published: (2026)
Geometric-disentangelment Unlearning
by: Zhou, Duo, et al.
Published: (2025)
by: Zhou, Duo, et al.
Published: (2025)
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
by: Joshi, Abhinav, et al.
Published: (2024)
by: Joshi, Abhinav, 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)
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
by: Pal, Soumyadeep, et al.
Published: (2025)
by: Pal, Soumyadeep, 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)
From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization
by: Zhou, Chenxi, et al.
Published: (2026)
by: Zhou, Chenxi, et al.
Published: (2026)
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
by: Kadhe, Swanand Ravindra, et al.
Published: (2024)
by: Kadhe, Swanand Ravindra, et al.
Published: (2024)
How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective
by: Qiu, Xinchi, et al.
Published: (2024)
by: Qiu, Xinchi, 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)
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2025)
by: Xu, Xiaoyu, et al.
Published: (2025)
FIT to Forget: Robust Continual Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2026)
by: Xu, Xiaoyu, 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)
Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
by: Xu, Xiaoyu, et al.
Published: (2025)
by: Xu, Xiaoyu, et al.
Published: (2025)
Adaptive-Boundary-Clipping GRPO: Ensuring Bounded Ratios for Stable and Generalizable Training
by: Liu, Chi, et al.
Published: (2026)
by: Liu, Chi, et al.
Published: (2026)
LLM Ghostbusters: Surgical Hallucination Suppression via Adaptive Unlearning
by: Spracklen, Joseph, et al.
Published: (2026)
by: Spracklen, Joseph, et al.
Published: (2026)
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)
Similar Items
-
Robust LLM Unlearning with MUDMAN: Meta-Unlearning with Disruption Masking And Normalization
by: Sondej, Filip, et al.
Published: (2025) -
How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis
by: Yang, Yushi, et al.
Published: (2024) -
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
by: Yang, Minglai, et al.
Published: (2025) -
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
by: Zhang, Ruiqi, et al.
Published: (2024) -
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
by: Ghoshal, Asish, et al.
Published: (2022)