Tag: natural language processing
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Can Vision-Language Models Understand Multimodal Puns?
Explore how large vision-language models struggle to grasp multimodal puns and discover new strategies to improve AI humor comprehension.
Attention Editing: Efficient Cross-Architecture Attention Conversion
Discover Attention Editing, a versatile framework that optimizes large language models by converting attention architectures without extensive retraining.
Turbulence-like 5/3 Scaling in Contextual Language Models
Discover turbulence-like 5/3 spectral scaling in contextual language embeddings, revealing complex system patterns in human and AI-generated text.
OpenCEM: Context-Aware Simulator for Microgrid Energy
Discover OpenCEM, a context-aware simulator and dataset integrating natural language with microgrid dynamics for smarter renewable energy management.
TDA-RC: Optimizing Reasoning Chains in Large Language Models
Discover TDA-RC, a topology-based method enhancing reasoning chains in large language models for improved accuracy and efficiency.