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

PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction IJCAI 2024

Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024

Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress? EMNLP 2024

Designing Informative Metrics for Few-Shot Example Selection ACL 2024

NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data EMNLP 2024

Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition ACL 2024

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024

Empowering Large Language Models for Textual Data Augmentation ACL 2024

On the In-context Generation of Language Models EMNLP 2024

Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning EMNLP 2024

SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics EMNLP 2024

Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024

D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NIPS 2024

Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024

Pretraining Language Models Using Translationese EMNLP 2024

Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024

Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024

Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024

POSIX: A Prompt Sensitivity Index For Large Language Models EMNLP 2024

Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024

ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning EMNLP 2024

Offensiveness, Hate, Emotion and GPT: Benchmarking GPT3.5 and GPT4 as Classifiers on Twitter-specific Datasets COLING 2024

GOLEM: GOld Standard for Learning and Evaluation of Motifs COLING 2024

What do Large Language Models Need for Machine Translation Evaluation? EMNLP 2024