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few-shot learning

3390 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Modeling Background Knowledge with Frame Semantics for Fine-grained Sentiment Classification ACL 2025
Few-Shot Structure-Informed Machinery Part Segmentation with Foundation Models and Graph Neural Networks WACV 2025
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples NAACL 2025
AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments CVPR 2025
Logical DA: Enhancing Data Augmentation for Logical Reasoning via a Multi-Agent System ACL 2025
OPI-DRO-HEL at SemEval-2025 Task 9: Integrating Transformer-Based Classification with LLM-Assisted Few-Shot Learning for Food Hazard Detection ACL 2025
MMRL: Multi-Modal Representation Learning for Vision-Language Models CVPR 2025
Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier WACV 2025
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning CVPR 2025
UncleLM at SemEval-2025 Task 11: RAG-Based Few-Shot Learning and Fine-Tuned Encoders for Multilingual Emotion Detection ACL 2025
Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification NAACL 2025
Argumentative Fallacy Detection in Political Debates ACL 2025
Aligning Black-box Language Models with Human Judgments NAACL 2025
Split Adaptation for Pre-trained Vision Transformers CVPR 2025
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild AAAI 2024
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model AAAI 2024
End-to-End Beam Retrieval for Multi-Hop Question Answering NAACL 2024
KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding COLING 2024
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning COLING 2024
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer NAACL 2024
Few-shot Link Prediction on Hyper-relational Facts COLING 2024
Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation COLING 2024