few-shot learning

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP 2023 Large Language Models are biased to overestimate profoundness EMNLP 2023 Large Language Models are few(1)-shot Table Reasoners EACL 2023 Large Language Models are Human-Level Prompt Engineers ICLR 2023 Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning NeurIPS 2023 Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction ACL 2023 Large Language Models can Implement Policy Iteration NeurIPS 2023 LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models CVPR 2023 LAVA: Label-Efficient Visual Learning and Adaptation WACV 2023 Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations ICLR 2023 Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023 Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples ICCV 2023 Learning Customized Visual Models With Retrieval-Augmented Knowledge CVPR 2023 Learning Expressive Prompting With Residuals for Vision Transformers CVPR 2023 Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection IJCAI 2023 Learning Few-Shot Segmentation From Bounding Box Annotations WACV 2023 Learning In-context Learning for Named Entity Recognition ACL 2023 Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? ACL 2023 Learning to Learn from Corrupted Data for Few-Shot Learning IJCAI 2023 Learning to reason over visual objects ICLR 2023 Learning To Segment Every Referring Object Point by Point CVPR 2023 Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning CVPR 2023 Legally Enforceable Hate Speech Detection for Public Forums EMNLP 2023 Less than One-shot: Named Entity Recognition via Extremely Weak Supervision EMNLP 2023 Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation ACL 2023