Summary of Graph-based Confidence Calibration For Large Language Models, by Yukun Li et al.
Graph-based Confidence Calibration for Large Language Modelsby Yukun Li, Sijia Wang, Lifu Huang, Li-Ping LiuFirst…
Graph-based Confidence Calibration for Large Language Modelsby Yukun Li, Sijia Wang, Lifu Huang, Li-Ping LiuFirst…
Learning World Models for Unconstrained Goal Navigationby Yuanlin Duan, Wensen Mao, He ZhuFirst submitted to…
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Networkby Jincheng Huang, Yujie Mo, Xiaoshuang Shi, Lei Feng, Xiaofeng…
Training on test proteins improves fitness, structure, and function predictionby Anton Bushuiev, Roman Bushuiev, Nikola…
Generalizable and Robust Spectral Method for Multi-view Representation Learningby Amitai Yacobi, Ofir Lindenbaum, Uri ShahamFirst…
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesisby Mohammad Zbeeb, Mohammad Ghorayeb,…
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalanceby Charles Camboulin, Diego Doimo, Aldo GlielmoFirst…
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixtureby Ruidong Fan, Xiao Ouyang, Hong Tao, Yuhua…
SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHFby Atoosa Chegini, Hamid Kazemi, Iman Mirzadeh,…
ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generationby Hengkai Tan, Xuezhou Xu, Chengyang…