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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification ACL 2024
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation EMNLP 2024
LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion IJCAI 2024
What Makes a Good Order of Examples in In-Context Learning ACL 2024
TransMistral at SemEval-2024 Task 10: Using Mistral 7B for Emotion Discovery and Reasoning its Flip in Conversation SEMEVAL 2024
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding COLING 2024
WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV ACL 2024
SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios INTERSPEECH 2024
ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversations SEMEVAL 2024
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SEMEVAL 2024
Metalearning with Very Few Samples Per Task COLT 2024
One-Shot Prompt for Language Variety Identification NAACL 2024
Empirical Analysis of Dialogue Relation Extraction with Large Language Models IJCAI 2024
Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition EACL 2024
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics RSS 2024
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation NIPS 2024
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study COLING 2024
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition COLING 2024
UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI SEMEVAL 2024
AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis AAAI 2024
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CONLL 2024