Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors
7 月 9, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2507.05939v1 Announce Type: new Abstract: Nowadays, misinformation articles, especially multimodal ones, are widely spread on...
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
5 月 15, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2505.05084v2 Announce Type: replace Abstract: The rapid advancement of large language models has raised significant...
Release Note May 16, 2025
5 月 16, 2025admin NU新闻(0)Added new features to the FORM page Updated pricing information on the pricing page Improved...
Release Note May 16, 2025
5 月 16, 2025admin NU新闻(0)– Added new features to the FORM page – Updated pricing information on the pricing...

Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
11 月 3, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2505.10446v3 Announce Type: replace Abstract: We introduce the Diffusion Chain of Lateral Thought (DCoLT), a...
Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English
11 月 17, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2511.10846v1 Announce Type: new Abstract: Automated emotion detection is widely used in applications ranging from...
Reinforcement Learning Teachers of Test Time Scaling
6 月 24, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2506.08388v2 Announce Type: replace-cross Abstract: Training reasoning language models (LMs) with reinforcement learning (RL) for...
Reinforcement Learning on Pre-Training Data
9 月 26, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2509.19249v2 Announce Type: replace Abstract: The growing disparity between the exponential scaling of computational resources...
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
10 月 27, 2025admin NUAI,Committee,新闻,Uncategorized(0)arXiv:2504.20571v3 Announce Type: replace-cross Abstract: We show that reinforcement learning with verifiable reward using one...