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In-Context Learning

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TitleStatusHype
Vision-centric Token Compression in Large Language Model—0
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference—0
Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs—0
On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning—0
Unraveling the Capabilities of Language Models in News SummarizationCode0
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains—0
VoicePrompter: Robust Zero-Shot Voice Conversion with Voice Prompt and Conditional Flow Matching—0
Shared DIFF Transformer—0
From Natural Language to Extensive-Form Game RepresentationsCode0
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented GenerationCode0
Detecting Zero-Day Attacks in Digital Substations via In-Context Learning—0
How well can LLMs Grade Essays in Arabic?—0
Training Dynamics of In-Context Learning in Linear Attention—0
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design—0
StaICC: Standardized Evaluation for Classification Task in In-context LearningCode0
AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement—0
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning—0
New Evaluation Paradigm for Lexical Simplification—0
Speech Translation Refinement using Large Language ModelsCode0
Prompt-Based Cost-Effective Evaluation and Operation of ChatGPT as a Computer Programming Teaching Assistant—0
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models—0
EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents—0
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
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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