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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery EMNLP 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP 2023
Ecologically Valid Explanations for Label Variation in NLI EMNLP 2023
How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023
Improving generalization in large langue model by learning prefix subspaces EMNLP 2023
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition EMNLP 2023
Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning EMNLP 2023
Conditioning on Dialog Acts improves Empathy Style Transfer EMNLP 2023
BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions EMNLP 2023
Who Wrote it and Why? Prompting Large-Language Models for Authorship Verification EMNLP 2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction EMNLP 2023
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data EMNLP 2023
Causal Intervention-based Few-Shot Named Entity Recognition EMNLP 2023
Unveiling the Power of Argument Arrangement in Online Persuasive Discussions EMNLP 2023
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension EMNLP 2023
Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP EMNLP 2023
Automatic Reflection Generation for Peer-to-Peer Counseling EMNLP 2023
In-context Learning of Large Language Models for Controlled Dialogue Summarization: A Holistic Benchmark and Empirical Analysis EMNLP 2023
Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection CVPR 2023
Towards Professional Level Crowd Annotation of Expert Domain Data CVPR 2023
Turning a CLIP Model Into a Scene Text Detector CVPR 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings CVPR 2023
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View CVPR 2023
Compositional Exemplars for In-context Learning ICML 2023