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

XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples NAACL 2025

GPT-NER: Named Entity Recognition via Large Language Models NAACL 2025

BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting NAACL 2025

Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning NAACL 2025

Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025

ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification NAACL 2025

Aligning Black-box Language Models with Human Judgments NAACL 2025

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization NAACL 2025

Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025

Automatic Text Segmentation of Ancient and Historic Hebrew NAACL 2025

Incorporating Lexicon-Aligned Prompting in Large Language Model for Tangut–Chinese Translation NAACL 2025

Harnessing NLP for Indigenous Language Education: Fine-Tuning Large Language Models for Sentence Transformation NAACL 2025

Medifact at PerAnsSumm 2025: Leveraging Lightweight Models for Perspective-Specific Summarization of Clinical Q&A Forums NAACL 2025

LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality NAACL 2025

A baseline for self-state identification and classification in mental health data: CLPsych 2025 Task NAACL 2025

From Evidence Mining to Meta-Prediction: a Gradient of Methodologies for Task-Specific Challenges in Psychological Assessment NAACL 2025

Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models NAACL 2025

Exploring Limitations of LLM Capabilities with Multi-Problem Evaluation NAACL 2025

Optimizing Cost-Efficiency with LLM-Generated Training Data for Conversational Semantic Frame Analysis NAACL 2025

Using LLMs to Advance Idiom Corpus Construction NAACL 2025

Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition NAACL 2025

Speaker Identification and Dataset Construction Using LLMs: A Case Study on Japanese Narratives NAACL 2025

Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation NAACL 2025

Generating Financial News Articles from Factors of Stock Price Rise / Decline by LLMs COLING 2025

Hypernetwork Approach to Bayesian MAML (Student Abstract) AAAI 2025