| On the Robustness of Transformers against Context Hijacking for Linear Classification | Feb 21, 2025 | In-Context Learning | —Unverified | 0 | 0 |
| On the Role of Depth and Looping for In-Context Learning with Task Diversity | Oct 29, 2024 | DiversityIn-Context Learning | —Unverified | 0 | 0 |
| Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning | Jan 29, 2024 | ClusteringDisentanglement | —Unverified | 0 | 0 |
| On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures | Oct 15, 2024 | In-Context Learning | —Unverified | 0 | 0 |
| Ontologically Faithful Generation of Non-Player Character Dialogues | Dec 20, 2022 | Dialogue GenerationIn-Context Learning | —Unverified | 0 | 0 |
| On Unsupervised Prompt Learning for Classification with Black-box Language Models | Oct 4, 2024 | In-Context LearningPrompt Learning | —Unverified | 0 | 0 |
| Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models | Nov 19, 2022 | Domain GeneralizationIn-Context Learning | —Unverified | 0 | 0 |
| Optimization-Inspired Few-Shot Adaptation for Large Language Models | May 25, 2025 | In-Context Learningparameter-efficient fine-tuning | —Unverified | 0 | 0 |
| Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems | Mar 25, 2025 | In-Context LearningMetaheuristic Optimization | —Unverified | 0 | 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 | 0 |
