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| Potential Benefits of Employing Large Language Models in Research in Moral Education and Development | Jun 23, 2023 | In-Context Learning | —Unverified | 0 | 0 |
| Power-Softmax: Towards Secure LLM Inference over Encrypted Data | Oct 12, 2024 | In-Context LearningInductive Bias | —Unverified | 0 | 0 |
| Predictability Shapes Adaptation: An Evolutionary Perspective on Modes of Learning in Transformers | May 14, 2025 | In-Context Learning | —Unverified | 0 | 0 |
| Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models | Aug 24, 2024 | In-Context Learning | —Unverified | 0 | 0 |
| Two-stage LLM Fine-tuning with Less Specialization and More Generalization | Nov 1, 2022 | Binary ClassificationDomain Generalization | —Unverified | 0 | 0 |
| Pretrained transformer efficiently learns low-dimensional target functions in-context | Nov 4, 2024 | In-Context Learning | —Unverified | 0 | 0 |
| Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models | Nov 1, 2023 | In-Context LearningModel Selection | —Unverified | 0 | 0 |
| Privacy Preserving Prompt Engineering: A Survey | Apr 9, 2024 | In-Context LearningPrivacy Preserving | —Unverified | 0 | 0 |
| Private prediction for large-scale synthetic text generation | Jul 16, 2024 | In-Context LearningPrediction | —Unverified | 0 | 0 |
