| Towards Few-Shot Identification of Morality Frames using In-Context Learning | Feb 3, 2023 | In-Context Learning | —Unverified | 0 |
| Using In-Context Learning to Improve Dialogue Safety | Feb 2, 2023 | In-Context LearningRe-Ranking | —Unverified | 0 |
| Collaborating with language models for embodied reasoning | Feb 1, 2023 | In-Context LearningLanguage Modeling | —Unverified | 0 |
| Looped Transformers as Programmable Computers | Jan 30, 2023 | In-Context Learning | CodeCode Available | 0 |
| Human-Timescale Adaptation in an Open-Ended Task Space | Jan 18, 2023 | In-Context LearningMeta Reinforcement Learning | —Unverified | 0 |
| Transformers as Algorithms: Generalization and Stability in In-context Learning | Jan 17, 2023 | Generalization BoundsIn-Context Learning | CodeCode Available | 0 |
| SegGPT: Towards Segmenting Everything in Context | Jan 1, 2023 | Few-Shot Semantic SegmentationIn-Context Learning | —Unverified | 0 |
| Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-shot In-Context Learners | Dec 21, 2022 | In-Context LearningLanguage Modeling | —Unverified | 0 |
| In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models | Dec 20, 2022 | Few-Shot LearningIn-Context Learning | —Unverified | 0 |
| Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers | Dec 20, 2022 | In-Context LearningOpen-Ended Question Answering | —Unverified | 0 |
