Prompt Engineering
16개 벤치마크 · 논문 1,874편 · 이 태스크의 논문 보기 →
Benchmarks
ImageNet
Caltech-101
DTD
EuroSAT
FGVC-Aircraft
Oxford 102 Flower
Oxford-IIIT Pet Dataset
SUN397
Stanford Cars
UCF101
Food-101
ImageNet-A
ImageNet-R
ImageNet-S
ImageNet V2
ImageNet-21k
Most implemented
Learning Transferable Visual Models From Natural Language Supervision
Learning to Prompt for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
GPT Understands, Too
Multitask Prompted Training Enables Zero-Shot Task Generalization
Visual Prompt Tuning
Papers
Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support
Background: Emergency Department (ED) return visits are commonly reviewed for quality assurance, but are often limited (e.g., to revisits within 48-72 hours) to increase actionable finding yield while minimizing chart re…
Prompt EngineeringUnifying Conformal Language Tasks with In-Context Ensembles
Many NLP tasks, such as summarization and extractive question answering, reduce to retrieving relevant content from documents under two constraints: coverage, retaining enough pertinent information to achieve some goal, …
Question AnsweringPrompt EngineeringStratified Consistency Distillation for Natural Language Formalization
Neurosymbolic reasoning has shown promising success in addressing complex reasoning tasks by combining large language models (LLMs) and symbolic solvers. While this approach shows promise, a fundamental challenge remains…
Prompt EngineeringThe Differential Reasoning Router: Operationalizing Cost-Aware LLM Annotation in E-commerce
Large Language Models (LLMs) are increasingly used to annotate structured product data in e-commerce, but early deployment often begins as a cold-start problem: only limited pre-launch labels are available, the value of …
Prompt EngineeringThomson: Continual Learning of Frontier Models for SovereignAI
The development of frontier models is commonly perceived to be the exclusive remit of a small number of heavily funded players, creating an information, economic and power asymmetry between developers and the diverse use…
Continual LearningPrompt EngineeringDomain AdaptationCRAMER: Control via Request-Aware Masking for Editing Recommenders
Sequential recommendation models, while powerful, have limited flexibility in responding to immediate user requests, making it difficult to adapt their recommendations to the user's timely interests. Unfortunately, exist…
Sequential RecommendationPrompt Engineering