Summary of Solving Continual Offline Reinforcement Learning with Decision Transformer, by Kaixin Huang et al.
Solving Continual Offline Reinforcement Learning with Decision Transformerby Kaixin Huang, Li Shen, Chen Zhao, Chun…
Summary of Heterogeneous Lora For Federated Fine-tuning Of On-device Foundation Models, by Yae Jee Cho and Luyang Liu and Zheng Xu and Aldi Fahrezi and Gauri Joshi
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Modelsby Yae Jee Cho, Luyang Liu, Zheng…
Summary of Scaling Laws For Forgetting When Fine-tuning Large Language Models, by Damjan Kalajdzievski
Scaling Laws for Forgetting When Fine-Tuning Large Language Modelsby Damjan KalajdzievskiFirst submitted to arxiv on:…
Summary of Rosa: Accurate Parameter-efficient Fine-tuning Via Robust Adaptation, by Mahdi Nikdan et al.
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptationby Mahdi Nikdan, Soroush Tabesh, Elvir Crnčević, Dan AlistarhFirst…
Summary of Chain Of Lora: Efficient Fine-tuning Of Language Models Via Residual Learning, by Wenhan Xia et al.
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learningby Wenhan Xia, Chengwei Qin,…
Summary of Plug-and-play Transformer Modules For Test-time Adaptation, by Xiangyu Chang et al.
Plug-and-Play Transformer Modules for Test-Time Adaptationby Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak…
Summary of Uncertainty-penalized Reinforcement Learning From Human Feedback with Diverse Reward Lora Ensembles, by Yuanzhao Zhai et al.
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensemblesby Yuanzhao Zhai, Han Zhang,…