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Research & Development
KAHAN: A Framework for Intelligent Financial Data Narration
TLDR: KAHAN is a knowledge-augmented hierarchical framework that uses Large Language Models (LLMs) to systematically extract insights from financial data at multiple levels (entity,...
News & Current Events
Ajou University Professor Kang Joo-young Honored with Achievement Award at 12th Korea Big Data AI Awards for Contributions to Data Utilization and Talent Development
TLDR: Professor Kang Joo-young of Ajou University's business department received the Achievement Award at the 12th Korea Big Data AI Awards. He was recognized...
Research & Development
Smart Location Predictions: A New Approach to Next Destination Recommendations
TLDR: RALLM-POI is a zero-shot AI framework for predicting a user's next location. It enhances Large Language Models (LLMs) by retrieving relevant historical user...
Research & Development
IHiD: A Dual-Layered AI for Spotting Unusual Trajectories
TLDR: IHiD (Intention-aware Hierarchical Diffusion model) is a novel unsupervised method for detecting anomalies in long-term trajectories. It uses a hierarchical approach, combining Inverse...
Research & Development
AI’s Impact on Strategic Intelligence: Opportunities and Challenges
TLDR: This research paper, "Governing Automated Strategic Intelligence," explores how advanced AI models, termed Automated Intelligence (AUTOINT), are set to revolutionize strategic analysis. It...
Research & Development
MCTS-EP: Enhancing AI Agents for Complex Real-World Tasks
TLDR: MCTS-EP is an online learning framework that combines large language models (LLMs) with Monte Carlo Tree Search (MCTS) to train embodied agents. It...