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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
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration
EMNLP 2025
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots
COLING 2025
Empirical Study of Zero-shot Keyphrase Extraction with Large Language Models
COLING 2025
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
COLING 2025
Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context Learning
COLING 2025
Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback
COLING 2025
Enhancing Multi-party Dialogue Discourse Parsing with Explanation Generation
COLING 2025
Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
COLING 2025
CycleOIE: A Low-Resource Training Framework For Open Information Extraction
COLING 2025
Semi-ViM: Bidirectional State Space Model for Mitigating Label Imbalance in Semi-Supervised Learning
ICCV 2025
Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection
COLING 2025
PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection
NAACL 2025
Few-shot Personalization of LLMs with Mis-aligned Responses
NAACL 2025
IdentifyMe: A Challenging Long-Context Mention Resolution Benchmark for LLMs
NAACL 2025
Schema and Natural Language Aware In-Context Learning for Improved GraphQL Query Generation
NAACL 2025
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design
NAACL 2025
In-Context Learning with Long-Context Models: An In-Depth Exploration
NAACL 2025
ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning
ICCV 2025
Active Multimodal Distillation for Few-shot Action Recognition
IJCAI 2025
Few-Shot Incremental Multi-modal Learning via Touch Guidance and Imaginary Vision Synthesis
IJCAI 2025
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
IJCAI 2025
VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting
IJCAI 2025
MixRI: Mixing Features of Reference Images for Novel Object Pose Estimation
ICCV 2025
Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition
ICCV 2025
Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
AAAI 2025
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