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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner NIPS 2024
On Scaling Up a Multilingual Vision and Language Model CVPR 2024
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers NAACL 2024
Adversarial Learning for Multi-Lingual Entity Linking ACL 2024
One-Shot Prompt for Language Variety Identification NAACL 2024
Exact Fusion via Feature Distribution Matching for Few-shot Image Generation CVPR 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset NIPS 2024
WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV ACL 2024
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NIPS 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning NIPS 2024
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction ACL 2024
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction IJCAI 2024
Is Programming by Example Solved by LLMs? NIPS 2024
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering ACL 2024
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models EACL 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification AISTATS 2024
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning NIPS 2024
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract) AAAI 2024
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024
Revisiting Few-Shot Object Detection with Vision-Language Models NIPS 2024
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification ACL 2024
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition ACL 2024
Using Natural Language Explanations to Improve Robustness of In-context Learning ACL 2024