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Methodology
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Machine Learning
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Few-Shot Learning
1062 directly classified papers
Papers per year
2006: 1
2011: 1
2013: 2
2014: 1
2015: 1
2017: 6
2018: 13
2019: 30
2020: 47
2021: 104
2022: 151
2023: 184
2024: 243
2025: 251
2026: 27
Papers
Prompt-Guided Augmentation and Multi-modal Fusion for Argumentative Fallacy Classification in Political Debates
ACL 2025
Gradient Flush at Slavic NLP 2025 Task: Leveraging Slavic BERT and Translation for Persuasion Techniques Classification
ACL 2025
Compositionality and Event Retrieval in Complement Coercion: A Study of Language Models in a Low-resource Setting
ACL 2025
Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification
ACL 2025
Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection
ACL 2025
GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition
AAAI 2025
Classifier-Augmented Generation for Structured Workflow Prediction
EMNLP 2025
Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning
EMNLP 2025
PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech
EMNLP 2025
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
CVPR 2025
MMRL: Multi-Modal Representation Learning for Vision-Language Models
CVPR 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
CVPR 2025
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
CVPR 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
WACV 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
AAAI 2025
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
AAAI 2025
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
AAAI 2025
Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning
ACL 2025
Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
ACL 2025
UCS-SQL: Uniting Content and Structure for Enhanced Semantic Bridging In Text-to-SQL
ACL 2025
Exploring In-context Example Generation for Machine Translation
ACL 2025
Revisiting Implicitly Abusive Language Detection: Evaluating LLMs in Zero-Shot and Few-Shot Settings
COLING 2025
Learning from Neighbors: Category Extrapolation for Long-Tail Learning
CVPR 2025
How Do Large Language Models Evaluate Lexical Complexity?
EMNLP 2025
NlpUned at SemEval-2025 Task 10: Beyond Training: A Taxonomy-Guided Approach to Role Classification Using LLMs
SEMEVAL 2025
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