| Prototypical Calibration for Few-shot Learning of Language Models | May 20, 2022 | Few-Shot LearningIn-Context Learning | CodeCode Available | 0 |
| Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning | May 11, 2022 | Few-Shot Text ClassificationIn-Context Learning | CodeCode Available | 4 |
| UL2: Unifying Language Learning Paradigms | May 10, 2022 | Arithmetic ReasoningCommon Sense Reasoning | CodeCode Available | 1 |
| The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning | May 6, 2022 | In-Context LearningLanguage Modelling | CodeCode Available | 1 |
| Contrastive Learning for Prompt-Based Few-Shot Language Learners | May 3, 2022 | Contrastive LearningIn-Context Learning | CodeCode Available | 1 |
| Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task | May 1, 2022 | Few-Shot LearningIn-Context Learning | —Unverified | 0 |
| What Makes Good In-Context Examples for GPT-3? | May 1, 2022 | In-Context LearningNatural Language Understanding | —Unverified | 0 |
| On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model | Apr 28, 2022 | Few-Shot LearningIn-Context Learning | —Unverified | 0 |
| Super-Prompting: Utilizing Model-Independent Contextual Data to Reduce Data Annotation Required in Visual Commonsense Tasks | Apr 25, 2022 | Few-Shot LearningIn-Context Learning | —Unverified | 0 |
| Data Distributional Properties Drive Emergent In-Context Learning in Transformers | Apr 22, 2022 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
