Tag: causal machine learning
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Can Large Language Models Reinvent Core Algorithms?
Explore how Large Language Models can unlearn and reinvent foundational algorithms, revealing their potential and limits in AI-driven innovation.
QA-MoE: Robust Multimodal Sentiment Analysis with Quality-Aware Experts
Discover QA-MoE, a quality-aware mixture of experts framework enhancing multimodal sentiment analysis by adapting to varying input reliability.
ResearchEVO: Automated Framework for Scientific Discovery
Discover ResearchEVO, the first end-to-end automated system for scientific discovery and publication-ready documentation with AI-driven algorithm evolution...
OntoTKGE: Boosting Temporal Knowledge Graph Prediction
OntoTKGE enhances temporal knowledge graph extrapolation by integrating ontological knowledge to improve prediction accuracy and handle sparse data.
Cross-domain Knowledge Transfer for Improved In-Context Learning
Explore how cross-domain knowledge transfer enhances in-context learning by leveraging prior knowledge to improve AI reasoning across domains.