Summary of Soul: Unlocking the Power Of Second-order Optimization For Llm Unlearning, by Jinghan Jia et al.
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearningby Jinghan Jia, Yihua Zhang, Yimeng…
Summary of Legent: Open Platform For Embodied Agents, by Zhili Cheng et al.
LEGENT: Open Platform for Embodied Agentsby Zhili Cheng, Zhitong Wang, Jinyi Hu, Shengding Hu, An…
Summary of Adafsnet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration, by Haoxiao Wang et al.
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size…
Summary of Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment, by Tengjun Huang
Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignmentby Tengjun HuangFirst submitted to arxiv…
Summary of Parameter-efficient Tuning Large Language Models For Graph Representation Learning, by Qi Zhu et al.
Parameter-Efficient Tuning Large Language Models for Graph Representation Learningby Qi Zhu, Da Zheng, Xiang Song,…
Summary of Joint Energy and Latency Optimization in Federated Learning Over Cell-free Massive Mimo Networks, by Afsaneh Mahmoudi et al.
Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networksby Afsaneh Mahmoudi,…
Summary of Kernel Corrector Lstm, by Rodrigo Tuna et al.
Kernel Corrector LSTMby Rodrigo Tuna, Yassine Baghoussi, Carlos Soares, João Mendes-MoreiraFirst submitted to arxiv on:…
Summary of Using Deep Q-learning to Dynamically Toggle Between Push/pull Actions in Computational Trust Mechanisms, by Zoi Lygizou and Dimitris Kalles
Using Deep Q-Learning to Dynamically Toggle between Push/Pull Actions in Computational Trust Mechanismsby Zoi Lygizou,…
Summary of Towards Incremental Learning in Large Language Models: a Critical Review, by Mladjan Jovanovic and Peter Voss
Towards Incremental Learning in Large Language Models: A Critical Reviewby Mladjan Jovanovic, Peter VossFirst submitted…
Summary of Diresa, a Distance-preserving Nonlinear Dimension Reduction Technique Based on Regularized Autoencoders, by Geert De Paepe et al.
DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencodersby Geert De Paepe, Lesley…