Summary of Lumina-next: Making Lumina-t2x Stronger and Faster with Next-dit, by Le Zhuo et al.
Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiTby Le Zhuo, Ruoyi Du, Han Xiao, Yangguang…
Summary of Molecular Diffusion Models with Virtual Receptors, by Matan Halfon et al.
Molecular Diffusion Models with Virtual Receptorsby Matan Halfon, Eyal Rozenberg, Ehud Rivlin, Daniel FreedmanFirst submitted…
Summary of Mixture Of Experts in a Mixture Of Rl Settings, by Timon Willi et al.
Mixture of Experts in a Mixture of RL settingsby Timon Willi, Johan Obando-Ceron, Jakob Foerster,…
Summary of Learning Optimal Filters Using Variational Inference, by Enoch Luk et al.
Learning Optimal Filters Using Variational Inferenceby Enoch Luk, Eviatar Bach, Ricardo Baptista, Andrew StuartFirst submitted…
Summary of Sok: Membership Inference Attacks on Llms Are Rushing Nowhere (and How to Fix It), by Matthieu Meeus et al.
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)by Matthieu…
Summary of Empirical Bayes For Dynamic Bayesian Networks Using Generalized Variational Inference, by Vyacheslav Kungurtsev et al.
Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inferenceby Vyacheslav Kungurtsev, Apaar, Aarya Khandelwal,…
Summary of Make Some Noise: Unlocking Language Model Parallel Inference Capability Through Noisy Training, by Yixuan Wang et al.
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Trainingby Yixuan Wang, Xianzhen…
Summary of Learning on Transformers Is Provable Low-rank and Sparse: a One-layer Analysis, by Hongkang Li et al.
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysisby Hongkang Li, Meng Wang,…
Summary of A Comprehensive Solution to Connect Speech Encoder and Large Language Model For Asr, by Van Tung Pham et al.
A Comprehensive Solution to Connect Speech Encoder and Large Language Model for ASRby Van Tung…
Summary of Machine Unlearning with Minimal Gradient Dependence For High Unlearning Ratios, by Tao Huang et al.
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratiosby Tao Huang, Ziyang Chen, Jiayang…