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in-context learning

1369 papers

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Also known as

ICL IC ICCG ICRL

Co-occurring keywords

large language model (12755) few-shot learning (3390) prompt engineering (1128) zero-shot learning (3637) language model (4573) retrieval-augmented generation (1459) text classification (6776) machine translation (2472) multimodal learning (4622) question answering (2904)

Papers

Do Prompt-Based Models Really Understand the Meaning of Their Prompts? NAACL 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations EMNLP 2022
Active Example Selection for In-Context Learning EMNLP 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? EMNLP 2022
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance EMNLP 2022
On the Compositional Generalization Gap of In-Context Learning EMNLP 2022
20Q: Overlap-Free World Knowledge Benchmark for Language Models EMNLP 2022
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning NIPS 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
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER ACL 2022
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again EMNLP 2022
Controllable Dialogue Simulation with In-context Learning EMNLP 2022
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts EMNLP 2022
In-Context Learning for Few-Shot Dialogue State Tracking EMNLP 2022
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
Language Models are Few-shot Multilingual Learners EMNLP 2021
Making Pre-trained Language Models Better Few-shot Learners IJCNLP 2021