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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

FPT: Feature Prompt Tuning for Few-shot Readability Assessment NAACL 2024
LLMs Are Few-Shot In-Context Low-Resource Language Learners NAACL 2024
Prompting Few-shot Multi-hop Question Generation via Comprehending Type-aware Semantics NAACL 2024
MasonTigers at SemEval-2024 Task 9: Solving Puzzles with an Ensemble of Chain-of-Thought Prompts NAACL 2024
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering EACL 2024
Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification EACL 2024
LAraBench: Benchmarking Arabic AI with Large Language Models EACL 2024
IndiFoodVQA: Advancing Visual Question Answering and Reasoning with a Knowledge-Infused Synthetic Data Generation Pipeline EACL 2024
“Define Your Terms” : Enhancing Efficient Offensive Speech Classification with Definition EACL 2024
Improving Continual Few-shot Relation Extraction through Relational Knowledge Distillation and Prototype Augmentation COLING 2024
The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure? NAACL 2024
UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI NAACL 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization NAACL 2024
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation NAACL 2024
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning NAACL 2024
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA NAACL 2024
Few-TK: A Dataset for Few-shot Scientific Typed Keyphrase Recognition NAACL 2024
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration NIPS 2024
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection NIPS 2024
Generate Universal Adversarial Perturbations for Few-Shot Learning NIPS 2024
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs NIPS 2024
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification NIPS 2024
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects NIPS 2024
Meta-Learning Universal Priors Using Non-Injective Change of Variables NIPS 2024
Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning NIPS 2024