Summary of Has Llm Reached the Scaling Ceiling Yet? Unified Insights Into Llm Regularities and Constraints, by Charles Luo
Has LLM Reached the Scaling Ceiling Yet? Unified Insights into LLM Regularities and Constraintsby Charles…
Summary of Effective Context Modeling Framework For Emotion Recognition in Conversations, by Cuong Tran Van et al.
Effective Context Modeling Framework for Emotion Recognition in Conversationsby Cuong Tran Van, Thanh V. T.…
Summary of A Generalizable Anomaly Detection Method in Dynamic Graphs, by Xiao Yang et al.
A Generalizable Anomaly Detection Method in Dynamic Graphsby Xiao Yang, Xuejiao Zhao, Zhiqi ShenFirst submitted…
Summary of Cbnn: 3-party Secure Framework For Customized Binary Neural Networks Inference, by Benchang Dong et al.
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inferenceby Benchang Dong, Zhili Chen, Xin…
Summary of Correcting Large Language Model Behavior Via Influence Function, by Han Zhang et al.
Correcting Large Language Model Behavior via Influence Functionby Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao…
Summary of Robust Random Graph Matching in Dense Graphs Via Vector Approximate Message Passing, by Zhangsong Li
Robust random graph matching in dense graphs via vector approximate message passingby Zhangsong LiFirst submitted…
Summary of The Road to Artificial Superintelligence: a Comprehensive Survey Of Superalignment, by Hyunjin Kim et al.
The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignmentby HyunJin Kim, Xiaoyuan Yi, Jing…
Summary of Condensed Stein Variational Gradient Descent For Uncertainty Quantification Of Neural Networks, by Govinda Anantha Padmanabha et al.
Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networksby Govinda Anantha Padmanabha, Cosmin…
Summary of When Can Proxies Improve the Sample Complexity Of Preference Learning?, by Yuchen Zhu et al.
When Can Proxies Improve the Sample Complexity of Preference Learning?by Yuchen Zhu, Daniel Augusto de…
Summary of Learn2mix: Training Neural Networks Using Adaptive Data Integration, by Shyam Venkatasubramanian et al.
Learn2Mix: Training Neural Networks Using Adaptive Data Integrationby Shyam Venkatasubramanian, Vahid TarokhFirst submitted to arxiv…