Add tofu in methods

README.md

@@ -28,6 +28,7 @@ This repository tracks the latest research on machine unlearning in large langua
 | [Visual In-Context Learning for Large Vision-Language Models](https://arxiv.org/abs/2402.11574)                                                         | -                           | 2024-02    | Zhou et al.           |
 | [EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models](https://arxiv.org/abs/2402.09801) | -                           | 2024-02    | Xing et al.           |
 | [Unlearning Reveals the Influential Training Data of Language Models](https://arxiv.org/abs/2401.15241)                                                 | -                           | 2024-01    | Isonuma and Titov     |
+| [TOFU: A Task of Fictitious Unlearning for LLMs](https://arxiv.org/abs/2401.06121)                                                                      | -                           | 2024-01    | Maini et al.          |
 | [Large Language Model Unlearning](https://arxiv.org/abs/2310.10683)                                                                                     | ICLR 2024                   | 2023-14    | Yao et al.            |
 | [FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs](https://arxiv.org/abs/2312.07420)                                        | NeurIPS 2023 SoLaR Workshop | 2023-12    | Kadhe et al.          |
 | [Making Harmful Behaviors Unlearnable for Large Language Models](https://arxiv.org/abs/2311.02105)                                                      | -                           | 2023-11    | Zhou et al.           |