Papers
NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks
Javad Rafiei Asl, Sidhant Narula, Mohammad Ghasemigol et al.
Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
Guokan Shang, Hadi Abdine, Ahmad Chamma et al.
NileChat: Towards Linguistically Diverse and Culturally Aware LLMs for Local Communities
Abdellah El Mekki, Houdaifa Atou, Omer Nacar et al.
NILE: Internal Consistency Alignment in Large Language Models
Minda Hu, Qiyuan Zhang, Yufei Wang et al.
NIM: Neuro-symbolic Ideographic Metalanguage for Inclusive Communication
Prawaal Sharma, Poonam Goyal, Navneet Goyal et al.
Nine Ways to Break Copyright Law and Why Our LLM Won’t: A Fair Use Aligned Generation Framework
Aakash Sen Sharma, Debdeep Sanyal, Priyansh Srivastava et al.
NitiBench: Benchmarking LLM Frameworks on Thai Legal Question Answering Capabilities
Pawitsapak Akarajaradwong, Pirat Pothavorn, Chompakorn Chaksangchaichot et al.
NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning
Yue Fang, Shaohan Huang, Xin Yu et al.
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging
Weiming Zhang, Qingyao Li, Xinyi Dai et al.
NLKI: A Lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks
Aritra Dutta, Swapnanil Mukherjee, Deepanway Ghosal et al.
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
Chenlu Guo, Yi Chang, Yuan Wu
NLP-ADBench: NLP Anomaly Detection Benchmark
Yuangang Li, Jiaqi Li, Zhuo Xiao et al.
NLP+Code: Code Intelligence in Language Models
Terry Yue Zhuo, Qian Liu, Zijian Wang et al.
NLP Needs Diversity outside of ‘Diversity’
Joshua Tint
NLP-ResTeam at LeWiDi-2025:Performance Shifts in Perspective Aware Models based on Evaluation Metrics
Olufunke O. Sarumi, Charles Welch, Daniel Braun
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery
Xiaoxue Han, Pengfei Hu, Chang Lu et al.
No for Some, Yes for Others: Persona Prompts and Other Sources of False Refusal in Language Models
Flor Miriam Plaza-del-Arco, Paul Röttger, Nino Scherrer et al.
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users
Mengxuan Hu, Hongyi Wu, Ronghang Zhu et al.
Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making
Yuanjun Feng, Vivek Choudhary, Yash Raj Shrestha
No Language Data Left Behind: A Cross-Cultural Study of CJK Language Datasets in the Hugging Face Ecosystem
Dasol Choi, Woomyoung Park, Youngsook Song
Non-directive corpus annotation to reveal individual perspectives with underspecified guidelines: the case of mental workload
Iuliia Arsenteva, Caroline Dubois, Philippe Le Goff et al.
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
Lisa Alazraki, Maximilian Mozes, Jon Ander Campos et al.
Non-Existent Relationship: Fact-Aware Multi-Level Machine-Generated Text Detection
Yang Wu, Ruijia Wang, Jie Wu
NormAL LoRA: What is the perfect size?
Aastik, Meghana Topu, Chinmay Kulkarni et al.
Normative Reasoning in Large Language Models: A Comparative Benchmark from Logical and Modal Perspectives
Kentaro Ozeki, Risako Ando, Takanobu Morishita et al.