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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Let’s Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models EMNLP 2023
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT EMNLP 2023
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? EMNLP 2023
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting EMNLP 2023
Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models EMNLP 2023
WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows IJCAI 2023
Two-Shot Video Object Segmentation CVPR 2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels ACL 2023
Prompt-Based Metric Learning for Few-Shot NER ACL 2023
ChatGPT for Suicide Risk Assessment on Social Media: Quantitative Evaluation of Model Performance, Potentials and Limitations ACL 2023
mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection ACL 2023
Few-shot Low-resource Knowledge Graph Completion with Reinforced Task Generation ACL 2023
VIST5: An Adaptive, Retrieval-Augmented Language Model for Visualization-oriented Dialog EMNLP 2023
LLM-driven Instruction Following: Progresses and Concerns EMNLP 2023
Consistency Analysis of ChatGPT EMNLP 2023
Inverse Scaling Can Become U-Shaped EMNLP 2023
Skill-Based Few-Shot Selection for In-Context Learning EMNLP 2023
Large Language Models can Implement Policy Iteration NIPS 2023
Representation Learning via Consistent Assignment of Views over Random Partitions NIPS 2023
A Unified, Scalable Framework for Neural Population Decoding NIPS 2023
Perception Test: A Diagnostic Benchmark for Multimodal Video Models NIPS 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning NIPS 2023
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach NIPS 2023
ExPT: Synthetic Pretraining for Few-Shot Experimental Design NIPS 2023
Toward Understanding Generative Data Augmentation NIPS 2023