Lei Yang

Probing Spatial State Representations in Visual Foundation Models

Baiqiao Yin, Zhongang Cai, Ruisi Wang, et al.

Looped Diffusion Transformer

Yong Xien Chng, Tianyi Chen, Wenwen Tong, et al.

onPanda: Efficient Annotation of On-Policy Alignment Data for LLMs and Agents via Token-Level Correction

Lei Yang, Mengyin Liu, Jia Wang, et al.

VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning

Junxiang Xu, Ruisi Wang, Fanyi Pu, et al.

SOLAR: Communication-Efficient Model Adaptation via Subspace-Oriented Latent Adapter Reparametrization

Seyed Mahmoud Sajjadi Mohammadabadi, Xiaolong Ma, Lei Yang, et al.

Fast and Effective Computation of Generalized Symmetric Matrix Factorization

Lei Yang, Han Wan, Min Zhang, et al.

This paper presents a new algorithm called A-NAUM for solving a complex mathematical optimization problem called generalized symmetric matrix factorization, which is used in machine learning and image processing. The researchers prove important theoretical properties showing that their method reliably finds good solutions and demonstrate through experiments that it works efficiently in practice.