| Context Understanding in Computer Vision: A Survey | Feb 10, 2023 | Action Detectionimage-classification | —Unverified | 0 |
| In-Context Learning with Many Demonstration Examples | Feb 9, 2023 | 16k8k | CodeCode Available | 1 |
| Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning | Feb 8, 2023 | In-Context LearningStyle Transfer | —Unverified | 0 |
| CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models | Feb 8, 2023 | BenchmarkingFew-Shot Learning | —Unverified | 0 |
| 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 |
| What Makes Good Examples for Visual In-Context Learning? | Jan 31, 2023 | In-Context LearningRetrieval | CodeCode Available | 1 |
| Grounding Language Models to Images for Multimodal Inputs and Outputs | Jan 31, 2023 | Image RetrievalIn-Context Learning | CodeCode Available | 2 |
| Adaptive Machine Translation with Large Language Models | Jan 30, 2023 | DecoderDomain Adaptation | CodeCode Available | 1 |
| Looped Transformers as Programmable Computers | Jan 30, 2023 | In-Context Learning | CodeCode Available | 0 |
| Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning | Jan 27, 2023 | Few-Shot LearningGSM8K | CodeCode Available | 1 |
| Batch Prompting: Efficient Inference with Large Language Model APIs | Jan 19, 2023 | Arithmetic ReasoningIn-Context Learning | CodeCode Available | 1 |
| 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 |
| Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers | Jan 5, 2023 | In-Context LearningLanguage Modeling | CodeCode Available | 7 |
| SegGPT: Towards Segmenting Everything in Context | Jan 1, 2023 | Few-Shot Semantic SegmentationIn-Context Learning | —Unverified | 0 |
| A Survey on In-context Learning | Dec 31, 2022 | In-Context LearningSurvey | CodeCode Available | 2 |
| Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP | Dec 28, 2022 | In-Context LearningLanguage Modelling | CodeCode Available | 7 |
| Parallel Context Windows for Large Language Models | Dec 21, 2022 | In-Context LearningPlaying the Game of 2048 | CodeCode Available | 1 |
| 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 |
| Ontologically Faithful Generation of Non-Player Character Dialogues | Dec 20, 2022 | Dialogue GenerationIn-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 |
| Data Curation Alone Can Stabilize In-context Learning | Dec 20, 2022 | DiversityIn-Context Learning | CodeCode Available | 1 |
