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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

Major Entity Identification: A Generalizable Alternative to Coreference Resolution EMNLP 2024
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction EMNLP 2024
Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines? EMNLP 2024
ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models NAACL 2024
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models NAACL 2024
AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph NAACL 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check NAACL 2024
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models NAACL 2024
In-Context Learning State Vector with Inner and Momentum Optimization NIPS 2024
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024
Do Prompt Positions Really Matter? NAACL 2024
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation NAACL 2024
Large Language Models Provide Human-Level Medical Text Snippet Labeling NAACL 2024
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models NAACL 2024
CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving NAACL 2024
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions NAACL 2024
SportQA: A Benchmark for Sports Understanding in Large Language Models NAACL 2024
Leveraging Code to Improve In-Context Learning for Semantic Parsing NAACL 2024
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions NAACL 2024
MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models NAACL 2024
On-the-fly Definition Augmentation of LLMs for Biomedical NER NAACL 2024
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning NAACL 2024
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning NAACL 2024
End-to-End Beam Retrieval for Multi-Hop Question Answering NAACL 2024
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer NAACL 2024