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In-Context Learning

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Showing 926–950 of 2297 papers

TitleStatusHype
Trojan Detection Through Pattern Recognition for Large Language Models—0
GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems—0
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments—0
Visual RAG: Expanding MLLM visual knowledge without fine-tuning—0
Tabular-TX: Theme-Explanation Structure-based Table Summarization via In-Context Learning—0
Confidence Estimation for Error Detection in Text-to-SQL SystemsCode0
Task Vectors in In-Context Learning: Emergence, Formation, and Benefit—0
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and RetrievalCode0
The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning CapabilitiesCode0
Exploring Task-Level Optimal Prompts for Visual In-Context Learning—0
Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning—0
SafePowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models—0
Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal ModelsCode0
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering—0
What Matters for In-Context Learning: A Balancing Act of Look-up and In-Weight Learning—0
Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding—0
ZSVC: Zero-shot Style Voice Conversion with Disentangled Latent Diffusion Models and Adversarial Training—0
Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations—0
More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives—0
Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2TextCode0
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
Automated Self-Refinement and Self-Correction for LLM-based Product Attribute Value ExtractionCode0
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning—0
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