Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Machine Learning
›
Learning Types
›
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
CountSE: Soft Exemplar Open-set Object Counting
ICCV 2025
Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research
ACL 2025
P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
ACL 2025
Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning
ACL 2025
Object-level Correlation for Few-Shot Segmentation
ICCV 2025
Adaptive Linguistic Prompting (ALP) Enhances Phishing Webpage Detection in Multimodal Large Language Models
ACL 2025
2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset Download PDF
ACL 2025
Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
ACL 2025
What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models
CONLL 2025
Gradient Flush at Slavic NLP 2025 Task: Leveraging Slavic BERT and Translation for Persuasion Techniques Classification
ACL 2025
Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition
NAACL 2025
A baseline for self-state identification and classification in mental health data: CLPsych 2025 Task
NAACL 2025
TFM^2: Training-Free Mask Matching for Open-Vocabulary Semantic Segmentation
WACV 2025
Compositionality and Event Retrieval in Complement Coercion: A Study of Language Models in a Low-resource Setting
ACL 2025
Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection
ACL 2025
Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification
ACL 2025
UCSP Submission to the AmericasNLP 2025 Shared Task
NAACL 2025
Learning to Search Effective Example Sequences for In-Context Learning
NAACL 2025
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
ACL 2025
Cross-Document Event-Keyed Summarization
ACL 2025
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data
EMNLP 2025
Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization
NAACL 2025
XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples
NAACL 2025
ImaRA: An Imaginative Frame Augmented Method for Low-Resource Multimodal Metaphor Detection and Explanation
NAACL 2025
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection
ACL 2025
<
1
…
6
7
8
…
43
>