Summary of Deciphering the Chaos: Enhancing Jailbreak Attacks Via Adversarial Prompt Translation, by Qizhang Li et al.
Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translationby Qizhang Li, Xiaochen Yang, Wangmeng…
Summary of Ka-gnn: Kolmogorov-arnold Graph Neural Networks For Molecular Property Prediction, by Longlong Li et al.
KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Predictionby Longlong Li, Yipeng Zhang, Guanghui Wang,…
Summary of Evolutionary Retrofitting, by Mathurin Videau (tau) et al.
Evolutionary Retrofittingby Mathurin Videau, Mariia Zameshina, Alessandro Leite, Laurent Najman, Marc Schoenauer, Olivier TeytaudFirst submitted…
Summary of Automatically Generating Visual Hallucination Test Cases For Multimodal Large Language Models, by Zhongye Liu et al.
Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Modelsby Zhongye Liu, Hongbin Liu,…
Summary of Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space, by Rajesh Mangannavar et al.
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Spaceby Rajesh Mangannavar,…
Summary of Disentangled Unsupervised Skill Discovery For Efficient Hierarchical Reinforcement Learning, by Jiaheng Hu et al.
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learningby Jiaheng Hu, Zizhao Wang, Peter Stone,…
Summary of Beyond Linear Approximations: a Novel Pruning Approach For Attention Matrix, by Yingyu Liang et al.
Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrixby Yingyu Liang, Jiangxuan Long, Zhenmei…
Summary of Unveiling Options with Neural Decomposition, by Mahdi Alikhasi and Levi H. S. Lelis
Unveiling Options with Neural Decompositionby Mahdi Alikhasi, Levi H. S. LelisFirst submitted to arxiv on:…
Summary of Fedccrl: Federated Domain Generalization with Cross-client Representation Learning, by Xinpeng Wang et al.
FedCCRL: Federated Domain Generalization with Cross-Client Representation Learningby Xinpeng Wang, Yongxin Guo, Xiaoying TangFirst submitted…
Summary of Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent, By Bo Chen et al.
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descentby Bo Chen,…