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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

Aligning Language Models to User Opinions EMNLP 2023
Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation EMNLP 2023
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting EMNLP 2023
A Comprehensive Evaluation of Tool-Assisted Generation Strategies EMNLP 2023
Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction EMNLP 2023
LTRC_IIITH’s 2023 Submission for Prompting Large Language Models as Explainable Metrics Task IJCNLP 2023
Large Language Models are few(1)-shot Table Reasoners EACL 2023
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023
HIT-MI&T Lab’s Submission to Eval4NLP 2023 Shared Task IJCNLP 2023
Large Language Models are Built-in Autoregressive Search Engines ACL 2023
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism SEMEVAL 2023
Large Language Models Are Partially Primed in Pronoun Interpretation ACL 2023
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models ACL 2023
Complementary Explanations for Effective In-Context Learning ACL 2023
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning ACL 2023
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning ACL 2023
HIT-MI&T Lab’s Submission to Eval4NLP 2023 Shared Task AACL 2023
Transformers Learn In-Context by Gradient Descent ICML 2023
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning ICML 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning ICML 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023
Measuring Pointwise 𝒱-Usable Information In-Context-ly EMNLP 2023
Enhancing Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies EMNLP 2023
Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023
Long-Tailed Question Answering in an Open World ACL 2023