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 - **General**
   - ✨ [LibMTL](https://github.com/median-research-group/libmtl): LibMTL: A PyTorch Library for Multi-Task Learning
-  - ✨ [auto-lambda](https://github.com/lorenmt/auto-lambda): The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" (for many multi-task optimization methods)
   - [MALSAR](https://github.com/jiayuzhou/MALSAR): Multi-task learning via Structural Regularization (⚠️ Non-deep Learning)
 - **Computer Vision**
   - ✨ [Multi-Task-Learning-PyTorch](https://github.com/SimonVandenhende/Multi-Task-Learning-PyTorch): PyTorch implementation of multi-task learning architectures
   - ✨ [mtan](https://github.com/lorenmt/mtan): The implementation of "End-to-End Multi-Task Learning with Attention"
+  - ✨ [auto-lambda](https://github.com/lorenmt/auto-lambda): The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships"
   - [astmt](https://github.com/facebookresearch/astmt): Attentive Single-tasking of Multiple Tasks
 - **NLP**
   - ✨ [mt-dnn](https://github.com/namisan/mt-dnn): Multi-Task Deep Neural Networks for Natural Language Understanding
@@ -239,7 +239,7 @@ Please let me know if you find any mistakes or omissions! Your contribution is w
 - **[Nash-MTL]** Navon, A., Shamsian, A., Achituve, I., Maron, H., Kawaguchi, K., Chechik, G., & Fetaya, E.  [Multi-Task Learning as a Bargaining Game](http://arxiv.org/abs/2202.01017). ICML, 2022. 
 - **[CAGrad]** Liu, B., Liu, X., Jin, X., Stone, P., & Liu, Q.  [Conflict-Averse Gradient Descent for Multi-task Learning](https://arxiv.org/abs/2110.14048). NeurIPS, 2021.
 - **[Rotograd]** Javaloy, A., & Valera, I.  [Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning](http://arxiv.org/abs/2103.02631). ArXiv, 2021. 
-- **[RLW]** Lin, B., Ye, F., & Zhang, Y.  [A Closer Look at Loss Weighting in Multi-Task Learning](http://arxiv.org/abs/2111.10603). ArXiv, 2021.
+- **[RLW]** Lin, B., Ye, F., & Zhang, Y.  [Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning](http://arxiv.org/abs/2111.10603). ArXiv, 2021.
 - ✨ **[Gradient Vaccine]** Wang, Z., Tsvetkov, Y., Firat, O., & Cao, Y.  [Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models](https://openreview.net/forum?id=F1vEjWK-lH_). ICLR, 2021.
 - **[IMTL]** Liu, L., Li, Y., Kuang, Z., Xue, J.-H., Chen, Y., Yang, W., Liao, Q., & Zhang, W.  [Towards Impartial Multi-task Learning](https://openreview.net/forum?id=IMPnRXEWpvr). ICLR, 2021.
 - **[IT-MTL]** Fifty, C., Amid, E., Zhao, Z., Yu, T., Anil, R., & Finn, C.  [Measuring and Harnessing Transference in Multi-Task Learning](https://arxiv.org/abs/2010.15413). ArXiv, 2020.
@@ -303,6 +303,7 @@ Please let me know if you find any mistakes or omissions! Your contribution is w
 
 ## Task Relationship Learning: Grouping, Tree (Hierarchy) & Cascading
 
+- Ilharco, Gabriel, Marco Tulio Ribeiro, Mitchell Wortsman, Suchin Gururangan, Ludwig Schmidt, Hannaneh Hajishirzi, and Ali Farhadi. [Editing Models with Task Arithmetic](https://arxiv.org/abs/2212.04089). Arxiv, 2022. 
 - Song, Xiaozhuang, Shun Zheng, Wei Cao, James Yu, and Jiang Bian. [Efficient and Effective Multi-Task Grouping via Meta Learning on Task Combinations](https://openreview.net/forum?id=Rqe-fJQtExY). NeurIPS, 2022.
 - Zhang, L., Liu, X., & Guan, H.  [A Tree-Structured Multi-Task Model Recommender](http://arxiv.org/abs/2203.05092). AutoML-Conf, 2022.
 - ✨ Fifty, C., Amid, E., Zhao, Z., Yu, T., Anil, R., & Finn, C.  [Efficiently Identifying Task Groupings for Multi-Task Learning](http://arxiv.org/abs/2109.04617). NeurIPS, 2021.