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

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

Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance EMNLP 2024

Detecting Temporal Ambiguity in Questions EMNLP 2024

C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024

A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval EMNLP 2024

Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering EMNLP 2024

Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model EMNLP 2024

Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024

TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings EMNLP 2024