| Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Feb 25, 2022 | In-Context Learning | CodeCode Available | 1 |
| Semantic-Oriented Unlabeled Priming for Large-Scale Language Models | Feb 12, 2022 | In-Context Learning | —Unverified | 0 |
| MetaICL: Learning to Learn In Context | Jan 16, 2022 | Few-Shot LearningIn-Context Learning | —Unverified | 0 |
| Exploring Example Selection for Few-shot Text-to-SQL Semantic Parsing | Jan 16, 2022 | Few-Shot LearningIn-Context Learning | —Unverified | 0 |
| Learning To Retrieve Prompts for In-Context Learning | Jan 16, 2022 | In-Context LearningLanguage Modeling | —Unverified | 0 |
| Black-Box Tuning for Language-Model-as-a-Service | Jan 10, 2022 | In-Context LearningLanguage Modeling | CodeCode Available | 2 |
| Transformers Can Do Bayesian Inference | Dec 20, 2021 | AutoMLBayesian Inference | CodeCode Available | 1 |
| Learning To Retrieve Prompts for In-Context Learning | Dec 16, 2021 | In-Context LearningLanguage Modeling | CodeCode Available | 1 |
| GLaM: Efficient Scaling of Language Models with Mixture-of-Experts | Dec 13, 2021 | Common Sense ReasoningIn-Context Learning | —Unverified | 0 |
| MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning | Dec 9, 2021 | In-Context LearningLanguage Modeling | CodeCode Available | 1 |
| Semantic-Oriented Unlabeled Priming for Large-Scale Language Models | Nov 16, 2021 | In-Context Learning | —Unverified | 0 |
| Meta-learning via Language Model In-context Tuning | Nov 16, 2021 | In-Context LearningInductive Bias | —Unverified | 0 |
| Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER | Nov 16, 2021 | Domain AdaptationFew-Shot Text Classification | —Unverified | 0 |
| An Explanation of In-context Learning as Implicit Bayesian Inference | Nov 3, 2021 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| MetaICL: Learning to Learn In Context | Oct 29, 2021 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| It's my Job to be Repetitive! My Job! My Job! -- Linking Repetitions to In-Context Learning in Language Models | Oct 16, 2021 | In-Context Learning | —Unverified | 0 |
| Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER | Oct 16, 2021 | Domain AdaptationFew-Shot Text Classification | CodeCode Available | 1 |
| Meta-learning via Language Model In-context Tuning | Oct 15, 2021 | In-Context LearningInductive Bias | CodeCode Available | 1 |
| LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners | Oct 12, 2021 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design | Oct 9, 2021 | ChunkingIn-Context Learning | —Unverified | 0 |
| What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers | Sep 10, 2021 | Few-Shot LearningIn-Context Learning | CodeCode Available | 2 |
| PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation | Apr 26, 2021 | Cloze (multi-choices) (Few-Shot)Cloze (multi-choices) (One-Shot) | CodeCode Available | 1 |
