Papers
NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation
Jun Bao, Junbo Wang, Yiheng Jiang et al.
NRGMark: Localized Watermarking for Energy Transparency in Images
Shruti Agarwal, Élie Michel, Vishal Asnani et al.
NSF-SciFy: Mining the NSF Awards Database for Scientific Claims
Delip Rao, Weiqiu You, Eric Wong et al.
NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification
Jun Hu, Yufei He, Yuan Li et al.
Nuanced Toxicity Detection in Spanish: A New Corpus and Benchmark Study
Alba María Mármol-Romero, Robiert Sepúlveda-Torres, Estela Saquete et al.
NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations
Ke Ding, Brian Parker, Jiayu Wen
NumCoKE: Ordinal-Aware Numerical Reasoning over Knowledge Graphs with Mixture-of-Experts and Contrastive Learning
Ming Yin, Zongsheng Cao, Qiqing Xia et al.
NURBGen: High-Fidelity Text-to-CAD Generation Through LLM-Driven NURBS Modeling
Muhammad Usama, Mohammad Sadil Khan, Didier Stricker et al.
NUS-IDS at AMIYA/VarDial 2026: Improving Arabic Dialectness in LLMs with Reinforcement Learning
Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du et al.
NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening
Misaal Khan, Mayank Vatsa, Kuldeep Singh et al.
O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model
Rishi Gupta, Mukilan Karuppasamy, Shyam Marjit et al.
OAD-Promoter: Enhancing Zero-Shot VQA Using Large Language Models with Object Attribute Description
Quanxing Xu, Ling Zhou, Feifei Zhang et al.
OASIS: Mitigating Harmful Fine-tuning Attacks on LLMs via Orthogonal and Adaptive Safety Alignment Strategy
Jiayu Tang, Guowei Peng, Qiuhao Xie et al.
OASIS: Online Sample Selection for Continual Instruction Tuning
Minjae Lee, Minhyuk Seo, Tingyu Qu et al.
Obedience or Vigilance? How Large Language Models React to Malicious Multiple-Choice Options (Student Abstract)
Yow-Fu Liou, Yu-Chien Tang, An-Zi Yen
ObjChangeVR: Object State Change Reasoning from Continuous Egocentric Views in VR Environments
Shiyi Ding, Shaoen Wu, Ying Chen
ObjectAdv: Object-Level Unrestricted Adversarial Attacks via Diffusion Models
Shijie Zhao, Zhenyu Liang, Xing Yang et al.
Object-Centric Data Synthesis for Category-level Object Detection (Student Abstract)
Vikhyat Agarwal, Jiayi Cora Guo, Declan Hoban et al.
Object-Centric Framework for Video Moment Retrieval
Zongyao Li, Yongkang Wong, Satoshi Yamazaki et al.
Object-Centric Latent Action Learning
Albina Klepach, Alexander Nikulin, Ilya Zisman et al.
Object-Centric World Models for Causality-Aware Reinforcement Learning
Yosuke Nishimoto, Takashi Matsubara
ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations
Matic Fučka, Vitjan Zavrtanik, Danijel Skočaj
Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example
Xue Song, Zhongqi Yue, Jiequan Cui et al.
ObjectMeshDeform : Towards Recovering Precise 3D Geometry of Real Objects via Image-guided Mesh Deformation of 3D Generative Priors
Siddharth Katageri, Sanjana Sinha, Sourav Ghosh et al.
ObjecTok: Learning Holistic and Robust Object Tokens for MLLMs
Sihan Wang, Xiyao Liu, Lianqing Liu et al.