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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

Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language COLING 2024
Enhancing Lexical Complexity Prediction through Few-shot Learning with Gpt-3 COLING 2024
ESG-GPT:GPT4-Based Few-Shot Prompt Learning for Multi-lingual ESG News Text Classification COLING 2024
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction IJCAI 2024
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification IJCAI 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors IJCAI 2024
Empirical Analysis of Dialogue Relation Extraction with Large Language Models IJCAI 2024
Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation WACV 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024
Exploring the Potential of Large Language Models in Computational Argumentation ACL 2024
In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs ACL 2024
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction ACL 2024
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering ACL 2024
Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning ACL 2024
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution ACL 2024
Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages ACL 2024
SafetyBench: Evaluating the Safety of Large Language Models ACL 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024
Self-chats from Large Language Models Make Small Emotional Support Chatbot Better ACL 2024
How Does In-Context Learning Help Prompt Tuning? EACL 2024
A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models EACL 2024
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks EACL 2024
Investigating grammatical abstraction in language models using few-shot learning of novel noun gender EACL 2024
Exploring Factual Entailment with NLI: A News Media Study NAACL 2024