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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

DocIE@XLLM25: UIEPrompter: A Unified Training-Free Framework for universal document-level information extraction via Structured Prompt ACL 2025
Prompt-Guided Augmentation and Multi-modal Fusion for Argumentative Fallacy Classification in Political Debates ACL 2025
Analyzing Interview Questions via Bloom’s Taxonomy to Enhance the Design Thinking Process ACL 2025
Detecting Hallucinations in Scientific Claims by Combining Prompting Strategies and Internal State Classification ACL 2025
Hypernetwork Approach to Bayesian MAML (Student Abstract) AAAI 2025
LLM-Driven Implicit Target Augmentation and Fine-Grained Contextual Modeling for Zero-Shot and Few-Shot Stance Detection EMNLP 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data AAAI 2025
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs AAAI 2025
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence AAAI 2025
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025
Beyond Pixel and Object: Part Feature as Reference for Few-Shot Video Object Segmentation AAAI 2025
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling AAAI 2025
Spatial Annealing for Efficient Few-shot Neural Rendering AAAI 2025
FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding COLING 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025
IberoBench: A Benchmark for LLM Evaluation in Iberian Languages COLING 2025
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale? COLING 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts AAAI 2025
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025
Efficient and Accurate Prompt Optimization: the Benefit of Memory in Exemplar-Guided Reflection ACL 2025
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms ACL 2025
CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL 2025
Beyond In-Context Learning: Aligning Long-form Generation of Large Language Models via Task-Inherent Attribute Guidelines ACL 2025
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning AAAI 2025