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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

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
ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversations NAACL 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification NAACL 2024
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling NAACL 2024
Few-Shot Event Argument Extraction Based on a Meta-Learning Approach NAACL 2024
Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis NAACL 2024
LegalDiscourse: Interpreting When Laws Apply and To Whom NAACL 2024
REPLUG: Retrieval-Augmented Black-Box Language Models NAACL 2024
MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024