| Unifying Image Processing as Visual Prompting Question Answering | Oct 16, 2023 | Image EnhancementImage Restoration | —Unverified | 0 | 0 |
| Dynamic Universal Approximation Theory: The Basic Theory for Transformer-based Large Language Models | Jul 1, 2024 | In-Context Learning | —Unverified | 0 | 0 |
| Universal Link Predictor By In-Context Learning on Graphs | Feb 12, 2024 | Hyperparameter OptimizationIn-Context Learning | —Unverified | 0 | 0 |
| Universal Response and Emergence of Induction in LLMs | Nov 11, 2024 | In-Context Learning | —Unverified | 0 | 0 |
| Universal Self-Adaptive Prompting | May 24, 2023 | In-Context LearningNatural Language Understanding | —Unverified | 0 | 0 |
| Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning | Jan 11, 2024 | Backdoor AttackIn-Context Learning | —Unverified | 0 | 0 |
| Unlearnable Algorithms for In-context Learning | Feb 1, 2024 | In-Context LearningLanguage Modeling | —Unverified | 0 | 0 |
| Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation | Dec 2, 2024 | DiversityFew-Shot Learning | —Unverified | 0 | 0 |
| Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science | Mar 29, 2024 | ImputationIn-Context Learning | —Unverified | 0 | 0 |
| Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting | Oct 2, 2024 | DiversityIn-Context Learning | —Unverified | 0 | 0 |
