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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024
Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts EMNLP 2024
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records EMNLP 2024
OpenT2T: An Open-Source Toolkit for Table-to-Text Generation EMNLP 2024
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model EMNLP 2024
Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models EMNLP 2024
ASTRA: Automatic Schema Matching using Machine Translation EMNLP 2024
GraphQL Query Generation: A Large Training and Benchmarking Dataset EMNLP 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks EMNLP 2024
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering EMNLP 2024
Guided Knowledge Generation with Language Models for Commonsense Reasoning EMNLP 2024
ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs EMNLP 2024
AnyTrans: Translate AnyText in the Image with Large Scale Models EMNLP 2024
A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection EMNLP 2024
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024
RoQLlama: A Lightweight Romanian Adapted Language Model EMNLP 2024
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models EMNLP 2024
Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach EMNLP 2024
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models EMNLP 2024
Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting EMNLP 2024
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning EMNLP 2024
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish EMNLP 2024
In-Context Learning with Iterative Demonstration Selection EMNLP 2024
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs? EMNLP 2024
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation EMNLP 2024