Cover Image

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yeats, Eric, Hannan, Darryl, Kvinge, Henry, Doster, Timothy, Mahan, Scott
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional Training
by: Yeats, Eric, et al.
Published: (2025)

A Connection Between Score Matching and Local Intrinsic Dimension
by: Yeats, Eric, et al.
Published: (2025)

FMG-Det: Foundation Model Guided Robust Object Detection
by: Hannan, Darryl, et al.
Published: (2025)

Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization
by: Hannan, Darryl, et al.
Published: (2025)

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
by: Jin, Zhuoran, et al.
Published: (2024)

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
by: Lin, Yujie, et al.
Published: (2026)

SCITUNE: Aligning Large Language Models with Human-Curated Scientific Multimodal Instructions
by: Horawalavithana, Sameera, et al.
Published: (2023)

Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
by: Mekala, Anmol, et al.
Published: (2024)

Concept Unlearning in Large Language Models via Self-Constructed Knowledge Triplets
by: Yamashita, Tomoya, et al.
Published: (2025)

Existing Large Language Model Unlearning Evaluations Are Inconclusive
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)

Rethinking Machine Unlearning for Large Language Models
by: Liu, Sijia, et al.
Published: (2024)

Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)

Dissecting Fine-Tuning Unlearning in Large Language Models
by: Hong, Yihuai, et al.
Published: (2024)

Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models
by: Ivanova, Anna A., et al.
Published: (2024)

Dissecting Language Models: Machine Unlearning via Selective Pruning
by: Pochinkov, Nicholas, et al.
Published: (2024)

Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization
by: Guo, Phillip, et al.
Published: (2024)

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
by: Tang, Haoyu, et al.
Published: (2024)

Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)

Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
by: Wei, Rongzhe, 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)

Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
by: Doshi, Jai, et al.
Published: (2024)

Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
by: Gao, Hongcheng, et al.
Published: (2024)

Sparse-Autoencoder-Guided Internal Representation Unlearning for Large Language Models
by: Yamashita, Tomoya, et al.
Published: (2025)

Can Small Language Models Learn, Unlearn, and Retain Noise Patterns?
by: Scaria, Nicy, et al.
Published: (2024)

Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting
by: To, Bang Trinh Tran, et al.
Published: (2025)

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
by: Tian, Bozhong, et al.
Published: (2024)

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models
by: Zhang, Jingyang, et al.
Published: (2024)

Hierarchical Federated Unlearning for Large Language Models
by: Zhong, Yisheng, et al.
Published: (2025)

Soft Prompting for Unlearning in Large Language Models
by: Bhaila, Karuna, et al.
Published: (2024)

Multi-Objective Large Language Model Unlearning
by: Pan, Zibin, et al.
Published: (2024)

Generative Frontiers: Why Evaluation Matters for Diffusion Language Models
by: Pynadath, Patrick, et al.
Published: (2026)

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
by: Zhao, Mengnan, et al.
Published: (2024)

Automated Statistical Model Discovery with Language Models
by: Li, Michael Y., et al.
Published: (2024)

PolyPrompt: Automating Knowledge Extraction from Multilingual Language Models with Dynamic Prompt Generation
by: Roll, Nathan
Published: (2025)

metabench -- A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
by: Kipnis, Alex, et al.
Published: (2024)

VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions
by: Nguyen, Thu Phuong, et al.
Published: (2025)

ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
by: Wei, Shou'ang, et al.
Published: (2025)

Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
by: Cha, Sungmin, et al.
Published: (2024)

From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
by: Christoph, Daniel, et al.
Published: (2025)