Co-occurring keywords · papers mentioning both
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