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

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning NAACL 2024

Disentangling Questions from Query Generation for Task-Adaptive Retrieval EMNLP 2024

A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection NAACL 2024

A RelEntLess Benchmark for Modelling Graded Relations between Named Entities EACL 2024

On the Effects of Data Scale on UI Control Agents NIPS 2024

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking EACL 2024

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts NAACL 2024

Distribution Shifts Are Bottlenecks: Extensive Evaluation for Grounding Language Models to Knowledge Bases EACL 2024

Can GPT4 Detect Euphemisms across Multiple Languages? NAACL 2024

Exploring Factual Entailment with NLI: A News Media Study NAACL 2024

In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024

DeMuX: Data-efficient Multilingual Learning NAACL 2024

Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis NAACL 2024

Few-Shot Event Argument Extraction Based on a Meta-Learning Approach NAACL 2024

SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios INTERSPEECH 2024

LegalDiscourse: Interpreting When Laws Apply and To Whom NAACL 2024

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning AAAI 2024

More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling NAACL 2024

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning AAAI 2024

ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models EACL 2024

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NIPS 2024

ProG: A Graph Prompt Learning Benchmark NIPS 2024

Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection CONLL 2024

MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024

REPLUG: Retrieval-Augmented Black-Box Language Models NAACL 2024