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In-Context Learning

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Showing 426–450 of 2297 papers

TitleStatusHype
Compositional Instruction Following with Language Models and Reinforcement Learning—0
Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMs—0
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification—0
Trojan Detection Through Pattern Recognition for Large Language Models—0
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language ModelCode1
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
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
Confidence Estimation for Error Detection in Text-to-SQL SystemsCode0
A Study of In-Context-Learning-Based Text-to-SQL ErrorsCode1
Task Vectors in In-Context Learning: Emergence, Formation, and Benefit—0
Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and RetrievalCode0
Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning—0
Exploring Task-Level Optimal Prompts for Visual In-Context Learning—0
The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning CapabilitiesCode0
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
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering—0
Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding—0
What Matters for In-Context Learning: A Balancing Act of Look-up and In-Weight Learning—0
Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations—0
ZSVC: Zero-shot Style Voice Conversion with Disentangled Latent Diffusion Models and Adversarial Training—0
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