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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction EMNLP 2023
Automated Few-Shot Classification with Instruction-Finetuned Language Models EMNLP 2023
MEAL: Stable and Active Learning for Few-Shot Prompting EMNLP 2023
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction EMNLP 2023
PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models EMNLP 2023
Separating Context and Pattern: Learning Disentangled Sentence Representations for Low-Resource Extractive Summarization ACL 2023
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features EMNLP 2023
X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents ACL 2023
Task-adaptive Label Dependency Transfer for Few-shot Named Entity Recognition ACL 2023
Comparing Prompt-Based and Standard Fine-Tuning for Urdu Text Classification EMNLP 2023
Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction EMNLP 2023
Retrieval-Augmented Few-shot Text Classification EMNLP 2023
Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation AAAI 2023
Supervised Contrastive Few-Shot Learning for High-Frequency Time Series AAAI 2023
Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification AAAI 2023
Feature Normalization and Cartography-Based Demonstrations for Prompt-Based Fine-Tuning on Emotion-Related Tasks AAAI 2023
Low Resource Quantitative Information Extraction via Structure Searching and Prefix-Based Text Generation AAAI 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models EMNLP 2023
Atlas: Few-shot Learning with Retrieval Augmented Language Models JMLR 2023
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023
TabLLM: Few-shot Classification of Tabular Data with Large Language Models AISTATS 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning AAAI 2023
Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023
CoAug: Combining Augmentation of Labels and Labelling Rules ACL 2023