← Learning Types
Machine Learning › Learning Types ›

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
Language-to-Code Translation with a Single Labeled Example EMNLP 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics EMNLP 2024
Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NIPS 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset NIPS 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024
ViGLUE: A Vietnamese General Language Understanding Benchmark and Analysis of Vietnamese Language Models NAACL 2024
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification EMNLP 2024
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model EMNLP 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models EMNLP 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models NIPS 2024
Multilingual Fine-Grained News Headline Hallucination Detection EMNLP 2024
Detecting Temporal Ambiguity in Questions EMNLP 2024
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs? EMNLP 2024
C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024
InstructEval: Systematic Evaluation of Instruction Selection Methods NAACL 2024
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL EMNLP 2024
Few-Shot Diffusion Models Escape the Curse of Dimensionality NIPS 2024
Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation CVPR 2024
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models EMNLP 2024
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft EMNLP 2024
PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents EMNLP 2024