Papers
Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
Xi Xiao, Chenrui Ma, Yunbei Zhang et al.
Not All Distortions Are Created Equal: Distortion-Selective Domain Adaptation for Point Cloud Quality Assessment
Yangwei Li, Xiaochuan Wang, Xin Shang et al.
Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict
Jie Shi, Xiaodong Yue, Wei Liu et al.
Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation
Lexiang Tang, Xianwei Zhuang, Bang Yang et al.
Not All Tokens Are Meant to Be Forgotten
Xiangyu Zhou, Yao Qiang, Saleh Zare Zade et al.
Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning
Hanbing Liu, Lang Cao, Yuanyi Ren et al.
NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
Maoqi Liu, Quan Fang, Yuhao Wu et al.
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes
Yang Zhou, Zhenting Sheng, Mingrui Tan et al.
Not Everything Is Permitted: Constrained Cartesian Abstractions for Optimal Classical Planning
Martín Pozo, Álvaro Torralba, Carlos Linares López
Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
Shengjie Ren, Zimin Liang, Miqing Li et al.
Not Just What’s There: Enabling CLIP to Comprehend Negated Visual Descriptions Without Fine-Tuning
Junhao Xiao, Zhiyu Wu, Hao Lin et al.
Not Like Transformers: Drop the Beat Representation for Dance Generation with Mamba-Based Diffusion Model
Sangjune Park, Inhyeok Choi, Donghyeon Soon et al.
NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation
Pratik Mishra, Caner Gözübüyük, Seema Nagar et al.
Novel or Drivel? Variants of Invariants for Teaching NLP in the LLM Era
Marius Micluța-Câmpeanu
Now You Hear Me: Audio Narrative Attacks Against Large Audio–Language Models
Ye Yu, Haibo Jin, Yaoning Yu et al.
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.