Summary of Hybridgs: Decoupling Transients and Statics with 2d and 3d Gaussian Splatting, by Jingyu Lin et al.
HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splattingby Jingyu Lin, Jiaqi Gu,…
Summary of Fedmetamed: Federated Meta-learning For Personalized Medication in Distributed Healthcare Systems, by Jiechao Gao et al.
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systemsby Jiechao Gao, Yuangang LiFirst submitted…
Summary of How Good Is Chatgpt in Giving Adaptive Guidance Using Knowledge Graphs in E-learning Environments?, by Patrick Ocheja et al.
How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments?by Patrick…
Summary of Large Language Models Show Both Individual and Collective Creativity Comparable to Humans, by Luning Sun et al.
Large Language Models show both individual and collective creativity comparable to humansby Luning Sun, Yuzhuo…
Summary of Optimizing Dense Visual Predictions Through Multi-task Coherence and Prioritization, by Maxime Fontana et al.
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritizationby Maxime Fontana, Michael Spratling, Miaojing ShiFirst…
Summary of Does Safety Training Of Llms Generalize to Semantically Related Natural Prompts?, by Sravanti Addepalli et al.
Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?by Sravanti Addepalli, Yerram Varun,…
Summary of U-math: a University-level Benchmark For Evaluating Mathematical Skills in Llms, by Konstantin Chernyshev et al.
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsby Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina…
Summary of Aim: Adaptive Inference Of Multi-modal Llms Via Token Merging and Pruning, by Yiwu Zhong et al.
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruningby Yiwu Zhong, Zhuoming Liu,…
Summary of Intent-driven In-context Learning For Few-shot Dialogue State Tracking, by Zihao Yi and Zhe Xu and Ying Shen
Intent-driven In-context Learning for Few-shot Dialogue State Trackingby Zihao Yi, Zhe Xu, Ying ShenFirst submitted…
Summary of Contextual Data Integration For Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions, by Romain Rochas (licit-eco7 et al.
Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditionsby…