Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces

Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces

17 June 2024

Shauli Ravfogel

Papers citing "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"

17 / 17 papers shown

Title
Not All Data Are Unlearned Equally Aravind Krishnan Siva Reddy Marius Mosbach MU 148 1 0 07 Apr 2025
Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization Phillip Guo Aaquib Syed Abhay Sheshadri Aidan Ewart Gintare Karolina Dziugaite KELM MU 33 5 0 16 Oct 2024
Do Unlearning Methods Remove Information from Language Model Weights? Aghyad Deeb Fabien Roger AAML MU 42 14 0 11 Oct 2024
Dissecting Fine-Tuning Unlearning in Large Language Models Yihuai Hong Yuelin Zou Lijie Hu Ziqian Zeng Di Wang Haiqin Yang AAML MU 39 2 0 09 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 53 10 0 03 Oct 2024
Robust LLM safeguarding via refusal feature adversarial training L. Yu Virginie Do Karen Hambardzumyan Nicola Cancedda AAML 62 10 0 30 Sep 2024
An Adversarial Perspective on Machine Unlearning for AI Safety Jakub Łucki Boyi Wei Yangsibo Huang Peter Henderson F. Tramèr Javier Rando MU AAML 73 32 0 26 Sep 2024
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models Bozhong Tian Xiaozhuan Liang Siyuan Cheng Qingbin Liu Mengru Wang Dianbo Sui Xi Chen Huajun Chen Ningyu Zhang MU 27 6 0 02 Jul 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models Daking Rai Yilun Zhou Shi Feng Abulhair Saparov Ziyu Yao 82 19 0 02 Jul 2024
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations Lei Yu Meng Cao Jackie Chi Kit Cheung Yue Dong HILM 33 7 0 27 Mar 2024
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations Jing-ling Huang Zhengxuan Wu Christopher Potts Mor Geva Atticus Geiger 59 27 0 27 Feb 2024
OLMo: Accelerating the Science of Language Models Dirk Groeneveld Iz Beltagy Pete Walsh Akshita Bhagia Rodney Michael Kinney ... Jesse Dodge Kyle Lo Luca Soldaini Noah A. Smith Hanna Hajishirzi OSLM 135 358 0 01 Feb 2024
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity Andrew Lee Xiaoyan Bai Itamar Pres Martin Wattenberg Jonathan K. Kummerfeld Rada Mihalcea 74 96 0 03 Jan 2024
Knowledge Unlearning for LLMs: Tasks, Methods, and Challenges Nianwen Si Hao Zhang Heyu Chang Wenlin Zhang Dan Qu Weiqiang Zhang KELM MU 80 26 0 27 Nov 2023
Dissecting Recall of Factual Associations in Auto-Regressive Language Models Mor Geva Jasmijn Bastings Katja Filippova Amir Globerson KELM 191 261 0 28 Apr 2023
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 147 191 0 04 Oct 2022
Toy Models of Superposition Nelson Elhage Tristan Hume Catherine Olsson Nicholas Schiefer T. Henighan ... Sam McCandlish Jared Kaplan Dario Amodei Martin Wattenberg C. Olah AAML MILM 125 318 0 21 Sep 2022