使用Transformer学习伪随机数:置换同余生成器、课程与可解释性
论文信息 标题: Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability 作者: Tao Tao, Maissam Barkeshli 发布日期: 2025-10-30 arXiv ID: 2510.26792v...
论文信息 标题: Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability 作者: Tao Tao, Maissam Barkeshli 发布日期: 2025-10-30 arXiv ID: 2510.26792v...
论文信息 标题: Scaling Image Geo-Localization to Continent Level 作者: Philipp Lindenberger, Paul-Edouard Sarlin, Jan Hosang, et al. 发布日期: 2025-10-30 arXiv ID: 2510.26795v1 PDF链接: 下载PDF 迈向大陆级图像地理定位...
论文信息 标题: OmniX: From Unified Panoramic Generation and Perception to Graphics-Ready 3D Scenes 作者: Yukun Huang, Jiwen Yu, Yanning Zhou, et al. 发布日期: 2025-10-30 arXiv ID: 2510.26800v1 PDF链接: 下载PD...
论文信息 标题: Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark 作者: Ziyu Guo, Xinyan Chen, Renrui Zhang, et al. 发布日期: 2025-10-30 arXiv ID: 2510.26802v1 PD...
论文信息 标题: E-Scores for (In)Correctness Assessment of Generative Model Outputs 作者: Guneet S. Dhillon, Javier González, Teodora Pandeva, et al. 发布日期: 2025-10-29 arXiv ID: 2510.25770v1 PDF链接: 下载PD...
论文信息 标题: Gaperon: A Peppered English-French Generative Language Model Suite 作者: Nathan Godey, Wissam Antoun, Rian Touchent, et al. 发布日期: 2025-10-29 arXiv ID: 2510.25771v1 PDF链接: 下载PDF Gaper...
论文信息 标题: A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization 作者: Wei Shen, Jiawei Zhang, Minhui Huang, et al. 发布日期: 2025-10-28 arXiv ID: 2510.24710v1 PDF链接: 下载PDF...
论文信息 标题: Generative View Stitching 作者: Chonghyuk Song, Michal Stary, Boyuan Chen, et al. 发布日期: 2025-10-28 arXiv ID: 2510.24718v1 PDF链接: 下载PDF 生成式视角缝合:突破自回归视频生成的时序限制 论文背景与研究动机 在当今数字内容创作蓬勃发...
论文信息 标题: Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling 作者: Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski 发布日期: 2025-10-27 arXiv ID: 2510.23...
论文信息 标题: Variational Masked Diffusion Models 作者: Yichi Zhang, Alex Schwing, Zhizhen Zhao 发布日期: 2025-10-27 arXiv ID: 2510.23606v1 PDF链接: 下载PDF 变分掩码扩散模型:解决离散生成建模中的依赖关系难题 论文背景与研究动机 在人工智能快速发展...