The paper introduces FOCUS, a cross‑dataset benchmark for retinal fundus models that evaluates vision‑only encoders, vision‑language dual encoders, and multimodal large language models across ten public datasets. It measures ranking performance, calibration, subgroup disparities, and image‑quality robustness for tasks such as diabetic retinopathy and glaucomatous optic neuropathy. Results show no single model family dominates, with vision‑only encoders ranking highest on average, while fine‑tuning improves in‑domain performance but varies in external transfer.
By David Restrepo, Chenwei Wu, Luis Filipe Nakayama, Miguel L. Martins, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante
arXiv:2610.31855v1 Announce Type: new
Abstract: Partial differential equations (PDEs) are indispensable tools for modeling complex phenomena in physics and engineering. Physics-Informed Neural Networ...
By Damian Hattler, Qiang Liu, Nils Thuerey
arXiv:2610.32189v1 Announce Type: new
Abstract: Unsupervised multivariate time series anomaly prediction (AP) aims to estimate future anomaly risks from current observations, providing early-warning...
By Jianxin Jin, Kai Zhao, Shiyan Hu, Yang Shu, Peng Chen, Meng Wang, Zhongwen Rao, Yijie Li, Jing Wang, Bin Yang, Chenjuan Guo
arXiv:2610.32855v1 Announce Type: new
Abstract: Regularised reinforcement learning (RL) has provable robustness guarantees that should ease the transfer of policies from simulation to robots, known a...
By Danilo Vucetic, Mohamad H. Danesh, Florence Clerc, Hsiu-Chin Lin, Jonathan Tremblay
arXiv:2610.33806v1 Announce Type: new
Abstract: Language-model agents must adapt as users revise their requirements and priorities during complex tasks. We introduce IntentDelta, a human-constructed...
By Jieyu Zhou, Zijian Wang, Yun Wang
arXiv:2610.34537v1 Announce Type: new
Abstract: Estimating the correctness of large language model (LLM) predictions without access to ground truth is critical for reliable deployment in high-stakes...
By Chenyang Yu, Zifan Zeng, Qunli Zhang, Feng Liu
arXiv:2610.34790v1 Announce Type: new
Abstract: User memory helps personalized systems build on their understanding of users over time. In e-commerce, users convey their preferences and needs through...
By Sizhe Wang, Xinghao Fang, Rui Qiu, Zhenjia Ma, Dagui Chen, Kun Kuang, Hongcheng Guo
arXiv:2610.34860v1 Announce Type: new
Abstract: Much of the information needed for data analysis is buried in text columns: an analyst may infer customer frustration from complaint text and use it to...
By Jinxiang Xie, Zihao Li, Rui Ding, Bartuer Zhou, Shi Han, Dongmei Zhang
arXiv:2604.22678v2 Announce Type: replace
Abstract: A common approach to question answering with retrieval-augmented generation (RAG) is to concatenate documents into a single context and pass it to...
By Jinghong Chen, Jingbiao Mei, Guangyu Yang, Bill Byrne
arXiv:2606.02304v2 Announce Type: replace
Abstract: LLM-based agents can solve multi-step interactive tasks by combining reasoning with environment feedback, yet each episode starts from the same fix...
By Zixuan Zhu, Yitong Hu, Yong Dai, Junfeng Fang, Chunyang Jiang, Senkang Hu, Yuzhi Zhao
arXiv:2608.05576v2 Announce Type: replace
Abstract: When a large language model (LLM) writes Harry Potter fanfiction, it can produce fundamental elements of the Hogwarts universe, such as recognizabl...
By Zini Yang, Emily Wenger, Richard Jean So
arXiv:2610.16318v2 Announce Type: replace
Abstract: Large language models (LLMs) can reduce hallucination by abstaining from questions they would likely get wrong. Abstention can be implemented outsi...
By Junwei Zhang, Yifei Wang, Wanli Yang, Hexiang Tan, Rui Tang, Xin Chen, Jingang Wang, Du Su, Fei Sun
arXiv:2610.33039v1 Announce Type: new
Abstract: We introduce Nemotron 3.5 Bolt 74B-A9B 24GB, a hybrid Mamba-Transformer vision-language model that optimizes speed and intelligence per GB of memory us...
By Ganesh Ajjanagadde, Chris Alexiuk, Luke Alonso, Kumar Anshuman, Maor Ashkenazi, Nave Assaf, Gorkem Batmaz, Omer Belhasin, Shai Ben Nun, Akhiad Bercovich, Pritam Biswas, Caroline Blanco, Tijmen Blankevoort, Michael Boone, Christopher Borden, Kari Briski, Bryan Catanzaro, Zijia Chen, Aishwarya Chhabra, Hung-Yueh Chiang, Annamalai Chockalingam, Jonathan Cohen, Joey Conway, Olivier Delalleau, Gerardo Delgado Cabrera, Leon Derczynski, Li Ding, Will Efstratis, Michael Elad, Ellie Evans, Wes Feely, Michael Fukuyama, Gaurav Garg, Rishabh Garg, Arvind Gopalakrishnan, Shishir Goyal, Kartik Gulia, Hao Guo, Negar Habibi, Scott Hara, Ehsan Hosseini Asl, Rohit Jena, Udi Karpas, Bilal Kartal, Mayank Kaushik, Manoj Kilaru, Mackenzie Kosseim, Oleksii Kuchaiev, Matthieu Le, Raymond Lee, Jian Leong, Jonathan Li, Sheldon Liang, Mingjie Liu, Eileen Long, Katherine Luna, Chenjie Luo, Mingyuan Ma, Arsh Maknojia, Richard Mazzarese, Jessica Medina, Puhui Meng, Yoav Miron, Pavlo Molchanov, David Mosallanezhad, Chetan Mungekar, Marina Neseem, Oluwatobi Olabiyi, Jason Paul, Bhavesh Pawar, Seth Poulos, Anav Prasad, Meredith Price, Sweta Priyadarshi, Haifeng Qian, Vinay Raman, Kaustubh Rao, Hayley Ross, Matan Rusanovsky, Sudeep Sabnis, Karan Sapra, Micah Schaffer, Schmitty, Alex Settle, Ashton Sharabiani, Haran Kumar Shiv Kumar, Rameshwar Shivbhakta, Guillermo Siman, Barnaby Simkin, Oliver Simons, Andrii Skliar, Padmavathy Subramanian, Yoshi Suhara, Ali Taghibakhshi, Nima Tajbakhsh, Andrew Tao, Roy Uziel, Prasoon Varshney, Jose Vergara, Huy Vu, Mengru Wang, Rochelle Woods, Pinky Xu, Dina Yared, Chenhan Yu, Chaosen Zhang, Jian Zhang, Yiheng Zhang, Ran Zilberstein
arXiv:2610.33135v1 Announce Type: new
Abstract: Precise camera control is essential for cinematic character video generation, yet existing methods struggle to follow large-angle trajectories with com...
By Lei Cao, Yu Liu, Wenhua Liao, Peng Zhang, Fei Wang, Hao Zhang, Jiajun Le, Daiguo Zhou, Jian Luan, Jiayi Ma
arXiv:2610.33504v1 Announce Type: new
Abstract: Automotive millimeter-wave (mmWave) radar has attracted increasing attention for semantic segmentation in autonomous driving, owing to its robustness u...
By Yangyong Deng, Pengyu Zhang, Shaoqiu Song, Xiaotao Huang, Jian Wang
arXiv:2610.33589v1 Announce Type: new
Abstract: While interactive video world models require autoregressive generation, directly adapting pretrained bidirectional video diffusion models into autoregr...
By Zelin Gao, Hao Ouyang, Jiapeng Zhu, Qiuyu Wang, Jingye Chen, Zichen Liu, Xing Zhu, Yujun Shen, Yinghao Xu
arXiv:2610.35361v1 Announce Type: new
Abstract: 3D Gaussian Splatting (3DGS) has become a promising representation for real-time novel view synthesis and 3D scene reconstruction. For practical deploy...
By Xiaohan Lu, Jiaqi Zhang, Weijia Jiang, Siwei Ma
arXiv:2610.33487v1 Announce Type: cross
Abstract: Robots can use historical observations to answer spatiotemporal queries in familiar environments, but the presence of relevant evidence does not impl...
By Lirong Che, Yang Chen, Yimeng Su, Daqi Liu, Zhenyu Huang, Jiong Wang, Yuzhe Yang, Xu Cao, Chuang Wang, Jian Su, Xueqian Wang
arXiv:2603.12657v2 Announce Type: replace
Abstract: Scene-level neural volumetric reconstruction from monocular videos remains challenging, especially under severe domain shifts. Although recent adva...
By Yuhang Ming, Tingkang Xi, Xingrui Yang, Lixin Yang, Yong Peng, Cewu Lu, Wanzeng Kong
arXiv:2603.29441v3 Announce Type: replace
Abstract: While the Earth observation community has witnessed a surge in high-impact foundation models and global Earth embedding datasets, a significant bar...
By Yijie Zheng, Weijie Wu, Zhuoyao He, Bingyue Wu, Long Zhao, Guoqing Li, Mikolaj Czerkawski, Konstantin Klemmer