Papers
ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation
Li Lin, Xinrui Zhang, Qi Zhang et al.
Orthogonal Spatial-temporal Distributional Transfer for 4D Generation
Wei Liu, Shengqiong Wu, Bobo Li et al.
Orthographic Robustness of Persian Named Entity Recognition Models
Henry Gagnier, Sophie Gagnier
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning
Debamita Ghosh, George K. Atia, Yue Wang
OSCBench: Benchmarking Object State Change in Text-to-Video Generation
Xianjing Han, Bin Zhu, Shiqi Hu et al.
Oscillation Inversion: Training-Free Image and Video Enhancement Through Oscillated Latents in Large Flow Models
Yan Zheng, Zhenxiao Liang, Xiaoyan Cong et al.
OscuFit: Learning to Fit Osculating Implicit Quadrics for Point Clouds
Rao Fu, Qian Li, Liang Yu et al.
OSEG: Improving Diffusion sampling through Orthogonal Smoothed Energy Guidance
Masud An Nur Islam Fahim, Nazmus Saqib, Joon-Min Gil
OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows
Qiushi Sun, Mukai Li, Zhoumianze Liu et al.
OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agents
Bowen Yang, Kaiming Jin, Zhenyu Wu et al.
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
Shangyu Li, Juyong Jiang, Tiancheng Zhao et al.
OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation
Zhanpeng Wang, Shuting Cao, Yuhang Lu et al.
OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs
Shaoyuan Chen, Zhixuan Chen, Dawei Yang et al.
Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space
Jian Zhu, Zhengyu Jia, Tian Gao et al.
OTI: A Model-free and Visually Interpretable Measure of Image Attackability
Jiaming Liang, Haowei Liu, Chi-Man Pun
Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV
Wenbo Huang, Jinghui Zhang, Zhenghao Chen et al.
OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility
Yun Xin, Jianfeng Lu, Gang Li et al.
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
Binghai Wang, Yantao Liu, Yuxuan Liu et al.
Outcome-Grounded Advantage Reshaping for Fine-Grained Credit Assignment in Mathematical Reasoning
Ziheng Li, Liu Kang, Feng Xiao et al.
Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging
Qiyuan Zhu, Dezhi Li, Lujun Li et al.
Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training
Xi Yang, Han Zhang, Zhijian Lin et al.
Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models
Zhixia He, Chen Zhao, Minglai Shao et al.
Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy
Bram Grooten, Patrick MacAlpine, Kaushik Subramanian et al.
Out of Distribution, Out of Luck: Process Rewards Misguide Reasoning Models
Alexey Dontsov, Anton Korznikov, Andrey V. Galichin et al.
Out of Style: RAG’s Fragility to Linguistic Variation
Tianyu Cao, Neel Bhandari, Akhila Yerukola et al.