few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

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

LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024

KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction NAACL 2024

DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting CVPR 2024

SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes SEMEVAL 2024

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024

CALVIN: Improved Contextual Video Captioning via Instruction Tuning NIPS 2024

MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thought Prompts SEMEVAL 2024

Align Before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition CVPR 2024

Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ? NAACL 2024

OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data NAACL 2024

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning CVPR 2024

NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA SEMEVAL 2024

Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation NAACL 2024

Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024

LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches NAACL 2024

Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention AAAI 2024

ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024

GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models NAACL 2024

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024

APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation CVPR 2024

ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models NAACL 2024

Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation NAACL 2024

Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning NAACL 2024

Parameter Efficient Self-Supervised Geospatial Domain Adaptation CVPR 2024

Simple Semantic-Aided Few-Shot Learning CVPR 2024