Summary of The Information Of Large Language Model Geometry, by Zhiquan Tan et al.
The Information of Large Language Model Geometryby Zhiquan Tan, Chenghai Li, Weiran HuangFirst submitted to…
Summary of Estimating Epistemic and Aleatoric Uncertainty with a Single Model, by Matthew A. Chan et al.
Estimating Epistemic and Aleatoric Uncertainty with a Single Modelby Matthew A. Chan, Maria J. Molina,…
Summary of Attention Meets Post-hoc Interpretability: a Mathematical Perspective, by Gianluigi Lopardo et al.
Attention Meets Post-hoc Interpretability: A Mathematical Perspectiveby Gianluigi Lopardo, Frederic Precioso, Damien GarreauFirst submitted to…
Summary of Deep Reinforcement Learning For Picker Routing Problem in Warehousing, by George Dunn et al.
Deep Reinforcement Learning for Picker Routing Problem in Warehousingby George Dunn, Hadi Charkhgard, Ali Eshragh,…
Summary of Training-free Consistent Text-to-image Generation, by Yoad Tewel et al.
Training-Free Consistent Text-to-Image Generationby Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal…
Summary of Specformer: Guarding Vision Transformer Robustness Via Maximum Singular Value Penalization, by Xixu Hu et al.
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalizationby Xixu Hu, Runkai Zheng, Jindong…
Summary of Slot Structured World Models, by Jonathan Collu et al.
Slot Structured World Modelsby Jonathan Collu, Riccardo Majellaro, Aske Plaat, Thomas M. MoerlandFirst submitted to…
Summary of Minimum Description Length and Generalization Guarantees For Representation Learning, by Milad Sefidgaran et al.
Minimum Description Length and Generalization Guarantees for Representation Learningby Milad Sefidgaran, Abdellatif Zaidi, Piotr KrasnowskiFirst…
Summary of Easyinstruct: An Easy-to-use Instruction Processing Framework For Large Language Models, by Yixin Ou et al.
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Modelsby Yixin Ou, Ningyu Zhang, Honghao…
Summary of Pfdm: Parser-free Virtual Try-on Via Diffusion Model, by Yunfang Niu et al.
PFDM: Parser-Free Virtual Try-on via Diffusion Modelby Yunfang Niu, Dong Yi, Lingxiang Wu, Zhiwei Liu,…