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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

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023
Few-shot Unified Question Answering: Tuning Models or Prompts? EMNLP 2023
“You Are An Expert Linguistic Annotator”: Limits of LLMs as Analyzers of Abstract Meaning Representation EMNLP 2023
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition EMNLP 2023
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval EMNLP 2023
Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains EMNLP 2023
The language of prompting: What linguistic properties make a prompt successful? EMNLP 2023
PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models EMNLP 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! EMNLP 2023
How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023
Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison EMNLP 2023
Improving generalization in large langue model by learning prefix subspaces EMNLP 2023
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition EMNLP 2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning EMNLP 2023
Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning EMNLP 2023
LLMaAA: Making Large Language Models as Active Annotators EMNLP 2023
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning EMNLP 2023
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision EMNLP 2023
A Comprehensive Evaluation of Tool-Assisted Generation Strategies EMNLP 2023
BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions EMNLP 2023
DocSplit: Simple Contrastive Pretraining for Large Document Embeddings EMNLP 2023
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery EMNLP 2023
PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction EMNLP 2023
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data EMNLP 2023