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pro vyhledávání: '"Yeoh A"'
We present TRACE-cs, a novel hybrid system that combines symbolic reasoning with large language models (LLMs) to address contrastive queries in scheduling problems. TRACE-cs leverages SAT solving techniques to encode scheduling constraints and genera
Externí odkaz:
http://arxiv.org/abs/2409.03671
To enable effective human-AI collaboration, merely optimizing AI performance while ignoring humans is not sufficient. Recent research has demonstrated that designing AI agents to account for human behavior leads to improved performance in human-AI co
Externí odkaz:
http://arxiv.org/abs/2406.06051
Autor:
Teo, N. Q. X., Hall-Chen, V. H., Barada, K., Ng, R. J. H., Gu, L., Yeoh, A. K., Pratt, Q. T., Garbet, X., Rhodes, T. L.
In H-mode tokamak plasmas, the plasma is sometimes ejected beyond the edge transport barrier. These events are known as edge localized modes (ELMs). ELMs cause a loss of energy and damage the vessel walls. Understanding the physics of ELMs and by ext
Externí odkaz:
http://arxiv.org/abs/2406.01464
Traditional belief revision frameworks often rely on the principle of minimalism, which advocates minimal changes to existing beliefs. However, research in human cognition suggests that people are inherently driven to seek explanations for inconsiste
Externí odkaz:
http://arxiv.org/abs/2405.19238
Explanation generation frameworks aim to make AI systems' decisions transparent and understandable to human users. However, generating explanations in uncertain environments characterized by incomplete information and probabilistic models remains a s
Externí odkaz:
http://arxiv.org/abs/2405.19229
Explainable AI Planning (XAIP) aims to develop AI agents that can effectively explain their decisions and actions to human users, fostering trust and facilitating human-AI collaboration. A key challenge in XAIP is model reconciliation, which seeks to
Externí odkaz:
http://arxiv.org/abs/2405.18650
In today's competitive financial landscape, understanding and anticipating customer goals is crucial for institutions to deliver a personalized and optimized user experience. This has given rise to the problem of accurately predicting customer goals
Externí odkaz:
http://arxiv.org/abs/2406.19399
Goal recognition design aims to make limited modifications to decision-making environments with the goal of making it easier to infer the goals of agents acting within those environments. Although various research efforts have been made in goal recog
Externí odkaz:
http://arxiv.org/abs/2404.03054
Autor:
Leung, E., Guan, J., Kwok, KO., Hung, CT., Ching, CC., Chong, KC., Yam, CHK., Sun, T., Tsang, WH., Yeoh, EK., Lee, A.
Introduction: The current study investigates the complex association between COVID-19 and the studied districts' socioecology (e.g. internal and external built environment, sociodemographic profiles, etc.) to quantify their contributions to the early
Externí odkaz:
http://arxiv.org/abs/2403.15759
Autor:
Leung, Eman, Guan, Jingjing, Kwok, Kin On, Hung, CT, Ching, CC., Chung, CK., Tsang, Hector, Yeoh, EK, Lee, Albert
Emergency department's (ED) boarding (defined as ED waiting time greater than four hours) has been linked to poor patient outcomes and health system performance. Yet, effective forecasting models is rare before COVID-19, lacking during the peri-COVID
Externí odkaz:
http://arxiv.org/abs/2403.13842