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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

Ibom NLP: A Step Toward Inclusive Natural Language Processing for Nigeria’s Minority Languages IJCNLP 2025
Overview of the ArchEHR-QA 2025 Shared Task on Grounded Question Answering from Electronic Health Records ACL 2025
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models NAACL 2025
Exploring Limitations of LLM Capabilities with Multi-Problem Evaluation NAACL 2025
TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning AAAI 2025
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features ICCV 2025
NusaDialogue: Dialogue Summarization and Generation for Underrepresented and Extremely Low-Resource Languages COLING 2025
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation AAAI 2025
Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition NAACL 2025
Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data ACL 2025
Structured Tender Entities Extraction from Complex Tables with Few-short Learning COLING 2025
Bridging AI and Carbon Capture: A Dataset for LLMs in Ionic Liquids and CBE Research ACL 2025
Fine-Tuning vs Prompting Techniques for Gender-Fair Rewriting of Machine Translations ACL 2025
Mitigating Label Length Bias in Large Language Models IJCNLP 2025
Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning AAAI 2025
Speaker Identification and Dataset Construction Using LLMs: A Case Study on Japanese Narratives NAACL 2025
Can LLMs Recognize Their Own Analogical Hallucinations? Evaluating Uncertainty Estimation for Analogical Reasoning ACL 2025
Adaptive Linguistic Prompting (ALP) Enhances Phishing Webpage Detection in Multimodal Large Language Models ACL 2025
FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding COLING 2025
Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation NAACL 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification AAAI 2025
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM AAAI 2025
Neural at ArchEHR-QA 2025: Agentic Prompt Optimization for Evidence-Grounded Clinical Question Answering ACL 2025
Argumentative Fallacy Detection in Political Debates ACL 2025
Show and Segment: Universal Medical Image Segmentation via In-Context Learning CVPR 2025