Summary of Llava-next-interleave: Tackling Multi-image, Video, and 3d in Large Multimodal Models, by Feng Li et al.
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Modelsby Feng Li, Renrui Zhang, Hao…
Summary of Deconstructing What Makes a Good Optimizer For Language Models, by Rosie Zhao et al.
Deconstructing What Makes a Good Optimizer for Language Modelsby Rosie Zhao, Depen Morwani, David Brandfonbrener,…
Summary of Training on the Test Task Confounds Evaluation and Emergence, by Ricardo Dominguez-olmedo et al.
Training on the Test Task Confounds Evaluation and Emergenceby Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz…
Summary of Glbench: a Comprehensive Benchmark For Graph with Large Language Models, by Yuhan Li et al.
GLBench: A Comprehensive Benchmark for Graph with Large Language Modelsby Yuhan Li, Peisong Wang, Xiao…
Summary of Man Truckscenes: a Multimodal Dataset For Autonomous Trucking in Diverse Conditions, by Felix Fent et al.
MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditionsby Felix Fent, Fabian Kuttenreich,…
Summary of Rigorous Probabilistic Guarantees For Robust Counterfactual Explanations, by Luca Marzari et al.
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanationsby Luca Marzari, Francesco Leofante, Ferdinando Cicalese, Alessandro FarinelliFirst…
Summary of Fine-grained Classification For Poisonous Fungi Identification with Transfer Learning, by Christopher Chiu et al.
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learningby Christopher Chiu, Maximilian Heil, Teresa Kim,…
Summary of Chilli: a Data Context-aware Perturbation Method For Xai, by Saif Anwar et al.
CHILLI: A data context-aware perturbation method for XAIby Saif Anwar, Nathan Griffiths, Abhir Bhalerao, Thomas…
Summary of Machine Unlearning For Medical Imaging, by Reza Nasirigerdeh et al.
Machine Unlearning for Medical Imagingby Reza Nasirigerdeh, Nader Razmi, Julia A. Schnabel, Daniel Rueckert, Georgios…
Summary of Mlrs-pds: a Meta-learning Recommendation Of Dynamic Ensemble Selection Pipelines, by Hesam Jalalian and Rafael M. O. Cruz
MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelinesby Hesam Jalalian, Rafael M. O. CruzFirst…