| On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures | Oct 15, 2024 | In-Context Learning | —Unverified | 0 |
| Ontologically Faithful Generation of Non-Player Character Dialogues | Dec 20, 2022 | Dialogue GenerationIn-Context Learning | —Unverified | 0 |
| On Unsupervised Prompt Learning for Classification with Black-box Language Models | Oct 4, 2024 | In-Context LearningPrompt Learning | —Unverified | 0 |
| Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models | Nov 19, 2022 | Domain GeneralizationIn-Context Learning | —Unverified | 0 |
| Optimization-Inspired Few-Shot Adaptation for Large Language Models | May 25, 2025 | In-Context Learningparameter-efficient fine-tuning | —Unverified | 0 |
| Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems | Mar 25, 2025 | In-Context LearningMetaheuristic Optimization | —Unverified | 0 |
| Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models | Nov 22, 2024 | In-Context LearningMisinformation | —Unverified | 0 |
| OptiSeq: Ordering Examples On-The-Fly for In-Context Learning | Jan 25, 2025 | In-Context Learning | —Unverified | 0 |
| Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling | Feb 28, 2024 | Computational Efficiencyimage-classification | —Unverified | 0 |
| Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models | Oct 22, 2024 | In-Context LearningQuestion Answering | —Unverified | 0 |
