few-shot learning

Distribution Shifts Are Bottlenecks: Extensive Evaluation for Grounding Language Models to Knowledge Bases EACL 2024 Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets EMNLP 2024 DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction EMNLP 2024 Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024 Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts ACL 2024 Domain Aligned CLIP for Few-Shot Classification WACV 2024 Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024 DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning NeurIPS 2024 Domain Gap Embeddings for Generative Dataset Augmentation CVPR 2024 Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification IJCAI 2024 Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation CVPR 2024 Do Prompt Positions Really Matter? NAACL 2024 Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024 Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks AAAI 2024 Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models CVPR 2024 Dual-Phase Accelerated Prompt Optimization EMNLP 2024 EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition NAACL 2024 Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints NAACL 2024 E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models ACL 2024 Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries NAACL 2024 Effective Data Augmentation With Diffusion Models ICLR 2024 Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024 Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation ICLR 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification NeurIPS 2024