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conftrace_

few-shot learning

3,578 papers

FSL FEWSHOT FEW-SHOT

Papers

KCL: Few-shot Named Entity Recognition with Knowledge Graph and Contrastive Learning COLING 2024 Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics RSS 2024 Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition COLING 2024 KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction NAACL 2024 Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024 Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NeurIPS 2024 KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding COLING 2024 Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages ACL 2024 Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training AAAI 2024 LabelPrompt: Effective prompt-based learning for relation classification ACML 2024 LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition CVPR 2024 LAMM: Label Alignment for Multi-Modal Prompt Learning AAAI 2024 LAMP: Learn A Motion Pattern for Few-Shot Video Generation CVPR 2024 Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts EMNLP 2024 Language Models as Black-Box Optimizers for Vision-Language Models CVPR 2024 Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks ACL 2024 Language Models Don’t Learn the Physical Manifestation of Language ACL 2024 Language Models for Text Classification: Is In-Context Learning Enough? COLING 2024 LAraBench: Benchmarking Arabic AI with Large Language Models EACL 2024 Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition ACL 2024 Large Language Models are Good Prompt Learners for Low-Shot Image Classification CVPR 2024 Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024 Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark EMNLP 2024 Large Language Models as Analogical Reasoners ICLR 2024 Large Language Models for Mathematical Reasoning: Progresses and Challenges EACL 2024