Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Paradigms
Artificial Intelligence
›
Learning Paradigms
›
Few-Shot Learning
2558 directly classified papers
Papers per year
2002: 1
2009: 1
2012: 1
2013: 6
2014: 2
2015: 3
2016: 6
2017: 19
2018: 48
2019: 127
2020: 167
2021: 323
2022: 394
2023: 448
2024: 528
2025: 401
2026: 83
Papers
Leveraging Code to Improve In-Context Learning for Semantic Parsing
NAACL 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
IJCAI 2024
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction
EMNLP 2024
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
NIPS 2024
Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios
NAACL 2024
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
EMNLP 2024
Tree of Problems: Improving structured problem solving with compositionality
EMNLP 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage
EMNLP 2024
M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning
AAAI 2024
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering
AAAI 2024
Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning
COLING 2024
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution
ACL 2024
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
ACL 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
WACV 2024
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
IJCAI 2024
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning
ACL 2024
Visual Attention Prompted Prediction and Learning
IJCAI 2024
Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem
COLING 2024
Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification
COLING 2024
Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods
COLING 2024
Active Learning Design Choices for NER with Transformers
COLING 2024
Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts
COLING 2024
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences
NAACL 2024
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies
EMNLP 2024
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA
SEMEVAL 2024
<
1
…
38
39
40
…
103
>