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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification AISTATS 2024
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques ACL 2024
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment EMNLP 2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024
Automatic Classification of News Subjects in Broadcast News: Application to a Gender Bias Representation Analysis INTERSPEECH 2024
Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024
What Makes a Good Order of Examples in In-Context Learning ACL 2024
In-Context Compositional Generalization for Large Vision-Language Models EMNLP 2024
Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models EACL 2024
ESG-GPT:GPT4-Based Few-Shot Prompt Learning for Multi-lingual ESG News Text Classification COLING 2024
HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs SEMEVAL 2024
Cross-Domain Few-Shot Semantic Segmentation via Doubly Matching Transformation IJCAI 2024
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach CVPR 2024
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features CVPR 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024
Post-Correction of Historical Text Transcripts with Large Language Models: An Exploratory Study EACL 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records EMNLP 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation NIPS 2024
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NIPS 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NIPS 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset NIPS 2024
Homology Consistency Constrained Efficient Tuning for Vision-Language Models NIPS 2024