Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...
Abstract: The selection of pedagogically relevant vocabulary is a critical aspect of English Language Teaching (ELT), yet traditional corpus-based word lists often rely solely on frequency-based ...
Karen Stollznow does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
Abstract: Embodied intelligence, as an interdisciplinary frontier that integrates artificial intelligence and robotics, relies fundamentally on robust task planning capabilities to enable autonomous ...
Introduction In a rapidly evolving world shaped by digital transformation, digital technologies are increasingly being used in healthcare. To use them effectively, nursing staff, patients and their ...
1 Huazhong University of Science & Technology, 2 MiLM Plus, Xiaomi Inc. (*) Equal contribution. Task scheduling is critical for embodied AI, enabling agents to follow natural language instructions and ...
Figure 1. Comparison of attention maps and the proposed VL similarity map for visualizing VL alignment. (a) While traditional attention maps inevitably exhibit high values at certain points due to ...
This study evaluates the effectiveness of digital scenario-based English conversation teaching at the university level using Artificial Intelligence Generated Content (AIGC). This study aims to design ...
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