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Few-Shot Learning

2558 directly classified papers

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Papers

Self-Prompt Mechanism for Few-Shot Image Recognition AAAI 2024
Enhancing Lexical Complexity Prediction through Few-shot Learning with Gpt-3 COLING 2024
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning AAAI 2024
Latent Learningscape Guided In-context Learning ACL 2024
An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024
Small Language Models Improve Giants by Rewriting Their Outputs EACL 2024
SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models ACL 2024
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records NIPS 2024
Task-Disruptive Background Suppression for Few-Shot Segmentation AAAI 2024
Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024
From Nile Sands to Digital Hands: Machine Translation of Coptic Texts ACL 2024
Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers across Diseases COLING 2024
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging AAAI 2024
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation CVPR 2024
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning AAAI 2024
Code-Style In-Context Learning for Knowledge-Based Question Answering AAAI 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing AAAI 2024
Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI AAAI 2024
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks AAAI 2024
Using In-context Learning to Automate AI Image Generation for a Gamified Text Labelling Task COLING 2024
ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler COLING 2024
Task Contamination: Language Models May Not Be Few-Shot Anymore AAAI 2024
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NIPS 2024