few-shot learning

Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study COLING 2024 Eval-UA-tion 1.0: Benchmark for Evaluating Ukrainian (Large) Language Models COLING 2024 Evaluation of Really Good Grammatical Error Correction COLING 2024 Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs EMNLP 2024 Exact Fusion via Feature Distribution Matching for Few-shot Image Generation CVPR 2024 ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis ICLR 2024 Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024 Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling ECCV 2024 Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting IJCAI 2024 Exploring Factual Entailment with NLI: A News Media Study NAACL 2024 Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks Interspeech 2024 Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation NAACL 2024 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers across Diseases COLING 2024 Exploring the LLM Journey from Cognition to Expression with Linear Representations ICML 2024 Exploring the Potential of Large Language Models in Computational Argumentation ACL 2024 Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy EMNLP 2024 Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models EACL 2024 FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification NeurIPS 2024 FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024 Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification NeurIPS 2024 Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization ACL 2024 Feature-Adaptive and Data-Scalable In-Context Learning ACL 2024 FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging AAAI 2024 Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning EMNLP 2024