Papers
Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing
Arthur Amalvy, Vincent Labatut, Xavier Bost et al.
Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment
Yihao Wu, Di Zhao, Yuzhuo Li et al.
Overcoming Small Data Limitations in Video-Based Infant Respiration Estimation
Liyang Song, Hardik Bishnoi, Sai Kumar Reddy Manne et al.
Over-Searching in Search-Augmented Large Language Models
Roy Xie, Deepak Gopinath, David Qiu et al.
Overview of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
Hansi Hettiarachchi, Tharindu Ranasinghe, Alistair Plum et al.
Overview of the SIGTURK 2026 Shared Task: Terminology-Aware Machine Translation for English–Turkish Scientific Texts
Ali Gebeşçe, Abdulfattah Safa, Ege Uğur Amasya et al.
OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection
Linhua Ye, Xing Xi, Ronghua Luo
OwlCap: Harmonizing Motion-Detail for Video Captioning via HMD-270K and Caption Set Equivalence Reward
Chunlin Zhong, Qiuxia Hou, Zhangjun Zhou et al.
OWL: Unsupervised 3D Object Detection by Occupancy Guided Warm-up and Large Model Priors Reasoning
Xusheng Guo, Wanfa Zhang, Shijia Zhao et al.
OW-Rep: Open World Object Detection with Instance Representation Learning
Sunoh Lee, Minsik Jeon, Jihong Min et al.
OxEnsemble: Fair Ensembles for Low-Data Classification
Jonathan Rystrøm, Zihao Fu, Chris Russell
OX-MABSR: A Benchmark for Open-domain Explainable Multimodal Aspect-Based Sentiment Reasoning
Xinjing Liu, ZiXin Xue, Pengyue Lin et al.
OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction
Junxing Hu, Tianlong Li, Lei Yu et al.
Oxytrees: Model Trees for Bipartite Learning
Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi et al.
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering
Wenlin Zhong, Chengyuan Liu, Yiquan Wu et al.
PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses
Theresa Wasserer, Maximilian Fleissner, Debarghya Ghoshdastidar
PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents
Lei Wei, Xiao Peng, Tt et al.
Pacing Equilibria in Second-Price Auctions with Few Buyers
Yonglei Yan, Zihe Wang, Zhengyang Liu
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Jingcheng Hu, Yinmin Zhang, Shijie Shang et al.
PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
Hohei Chan, Xinzhi Zhang, Antao Xiang et al.
PADM: A Physics-aware Diffusion Model for Attenuation Correction
Trung Kien Pham, Hoang Minh Vu, Anh Duc Chu et al.
PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning
Yingjie Ma, Xun Lin, Yong Xu et al.
PAGE: A Unified Approach for Federated Graph Unlearning
Yuming Ai, Xunkai Li, Jiaqi Chao et al.