in-context learning

Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance EMNLP 2022 Successive Prompting for Decomposing Complex Questions EMNLP 2022 Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks EMNLP 2022 Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment COLING 2022 The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design ICLR 2022 The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning NeurIPS 2022 Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again EMNLP 2022 Towards Few-Shot Identification of Morality Frames using In-Context Learning EMNLP 2022 Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data ACL 2022 What Can Transformers Learn In-Context? A Case Study of Simple Function Classes NeurIPS 2022 What Makes Good In-Context Examples for GPT-3? ACL 2022 XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing EMNLP 2022 Zero- and Few-Shot NLP with Pretrained Language Models ACL 2022 Language Models are Few-shot Multilingual Learners EMNLP 2021 The Power of Scale for Parameter-Efficient Prompt Tuning EMNLP 2021 What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers EMNLP 2021