Summary of Tablegpt2: a Large Multimodal Model with Tabular Data Integration, by Aofeng Su et al.
TableGPT2: A Large Multimodal Model with Tabular Data Integrationby Aofeng Su, Aowen Wang, Chao Ye,…
Summary of Intrinsic Dimensionality Of Fermi-pasta-ulam-tsingou High-dimensional Trajectories Through Manifold Learning, by Gionni Marchetti
Intrinsic Dimensionality of Fermi-Pasta-Ulam-Tsingou High-Dimensional Trajectories Through Manifold Learningby Gionni MarchettiFirst submitted to arxiv on:…
Summary of Scalable Efficient Training Of Large Language Models with Low-dimensional Projected Attention, by Xingtai Lv et al.
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attentionby Xingtai Lv, Ning Ding,…
Summary of Show, Don’t Tell: Learning Reward Machines From Demonstrations For Reinforcement Learning-based Cardiac Pacemaker Synthesis, by John Komp et al.
Show, Don’t Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesisby John…
Summary of A Theoretical Characterization Of Optimal Data Augmentations in Self-supervised Learning, by Shlomo Libo Feigin et al.
A Theoretical Characterization of Optimal Data Augmentations in Self-Supervised Learningby Shlomo Libo Feigin, Maximilian Fleissner,…
Summary of Clustering Based on Density Propagation and Subcluster Merging, by Feiping Nie et al.
Clustering Based on Density Propagation and Subcluster Mergingby Feiping Nie, Yitao Song, Jingjing Xue, Rong…
Summary of Thinking Forward and Backward: Effective Backward Planning with Large Language Models, by Allen Z. Ren et al.
Thinking Forward and Backward: Effective Backward Planning with Large Language Modelsby Allen Z. Ren, Brian…
Summary of Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method, by Feiping Nie et al.
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Methodby Feiping Nie, Yitao Song, Wei…
Summary of Salsa: Soup-based Alignment Learning For Stronger Adaptation in Rlhf, by Atoosa Chegini et al.
SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHFby Atoosa Chegini, Hamid Kazemi, Iman Mirzadeh,…
Summary of Expanding Sparse Tuning For Low Memory Usage, by Shufan Shen et al.
Expanding Sparse Tuning for Low Memory Usageby Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang,…