In-Context Learning

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model NAACL 2022 On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022 Pre-Trained Language Models for Interactive Decision-Making NeurIPS 2022 Probing via Prompting NAACL 2022 Prompt Consistency for Zero-Shot Task Generalization EMNLP 2022 Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022 Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment COLING 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 XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing EMNLP 2022 Learning Large Logic Programs By Going Beyond Entailment IJCAI 2020 Least General Generalizations in Description Logic: Verification and Existence AAAI 2020 Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract) AAAI 2020 Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008