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A resource repository for machine unlearning in large language models
| Date | Stars |
|---|---|
| 2026-07-31 | 615 |
| 2026-08-02 | 616 |
| 2026-08-06 | 616 |
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# 🧹 Awesome LLM Unlearning <p align="center"> <a href="https://awesome.re"><img src="https://img.shields.io/badge/Awesome-%F0%9F%A7%B9_LLM_Unlearning-000000?style=for-the-badge&labelColor=000000" alt="Awesome LLM Unlearning"></a> <a href="https://github.com/chrisliu298/awesome-llm-unlearning/stargazers"><img src="https://img.shields.io/github/stars/chrisliu298/awesome-llm-unlearning?style=for-the-badge&logo=github&logoColor=white&label=Stars&labelColor=000000&color=000000" alt="GitHub Stars"></a> <a href="https://github.com/chrisliu298/awesome-llm-unlearning/network/members"><img src="https://img.shields.io/github/forks/chrisliu298/awesome-llm-unlearning?style=for-the-badge&logo=github&logoColor=white&label=Forks&labelColor=000000&color=000000" alt="GitHub Forks"></a> <a href="https://github.com/chrisliu298/awesome-llm-unlearning/commits"><img src="https://img.shields.io/github/last-commit/chrisliu298/awesome-llm-unlearning?style=for-the-badge&logo=github&logoColor=white&label=Last%20Commit&labelColor=000000&color=000000" alt="Last Commit"></a> </p> A curated collection of papers, surveys, benchmarks, frameworks, and blog posts for machine unlearning in large language models. As of the last commit, there are **607** papers, **18** surveys and position papers, **3** frameworks, and **2** blog posts. > If you believe your paper on LLM unlearning is not included, or if you find a mistake, typo, or information that is not up to date, please open an issue or submit a pull request, and I will be happy to update the list. ## Contents - [Papers](#papers) - [2026](#2026) - [2025](#2025) - [2024](#2024) - [2023](#2023) - [2022](#2022) - [2021](#2021) - [Surveys and Position Papers](#surveys-and-position-papers) - [Frameworks](#frameworks) - [Blog Posts](#blog-posts) - [Contributing](#contributing) - [Citation](#citation) ## Papers ### 2026 - [Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning](https://arxiv.org/abs/2607.27968) - Author(s): Efstratios Zaradoukas, Davide Gabrielli, Bardh Prenkaj, Gjergji Kasneci - Date: 2026-07 - Venue: ECML-PKDD 2026 WIPE-OUT Workshop - Code: - - [Crossing the Margin Cliff: Toward Relearn-Robust LLM Unlearning via Margin Calibration](https://arxiv.org/abs/2607.27836) - Author(s): Xiangyu Yin, Jiaxu Liu, Zhen Chen, Chih-Hong Cheng - Date: 2026-07 - Venue: - - Code: - - [Subtract or Replay? Exact Deletion from Language-Model Memory](https://arxiv.org/abs/2607.27539) - Author(s): Vishwajith Ramesh - Date: 2026-07 - Venue: - - Code: - - [Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning](https://arxiv.org/abs/2607.21300) - Author(s): Lorenzo Orsingher, Thomas De Min, Massimiliano Mancini, Davide Talon, Elisa Ricci - Date: 2026-07 - Venue: - - Code: - - [Unlearning as Distribution Restoration: A Controlled Counterfactual Study, a Validated Selective Screen, and the Limits of Oracle-Free Certification](https://arxiv.org/abs/2607.19442) - Author(s): Sen Yang, Yuen-Hei Yeung - Date: 2026-07 - Venue: - - Code: - - [Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning](https://arxiv.org/abs/2607.18615) - Author(s): Zijie Liu, Jinhao Duan, Gaowen Liu, Sijia Liu, Tianlong Chen - Date: 2026-07 - Venue: - - Code: - - [One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models](https://arxiv.org/abs/2607.16442) - Author(s): Sudharshan Balaji, Yili Ren, Guangjing Wang, Yimin Chen, Ning Wang - Date: 2026-07 - Venue: - - Code: - - [LLM Unlearning for Cyber Defense: A Survey on Methods, Challenges, and Emerging Threats](https://arxiv.org/abs/2607.16227) - Author(s): Ruppikha Sree Shankar, Abhishek Bhardwaj, Arnav Doshi, Anusri Nagarajan, Troy Paulus Asia, Saptarshi Sengupta - Date: 2026-07 - Venue: - - Code: - - [HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuni
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chrisliu298 · University of California, Santa Cruz · United States
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