Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Adaptive diagnostic reasoning framework for pathology with multimodal large language models. [PDF]
Hong Y +7 more
europepmc +1 more source
A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti +6 more
wiley +1 more source
Biomimetic 3D Tactile Sensor System With Neuromorphic Encoding for Fascicle‐Level Feedback
A 3D biomimetic tactile sensor system converts skin‐like mechanical interactions into neural stimulation‐ready spike patterns. Embedded slow‐ and fast‐adapting sensors distinguish sustained pressure from transient touch, while neuromorphic encoding preserves their temporal signatures.
Minseok Kim +4 more
wiley +1 more source
Will multimodal large language models ever achieve deep understanding of the world? [PDF]
Farkaš I, Vavrečka M, Wermter S.
europepmc +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
Burn Extent and Fitzpatrick Skin Tone Assessment from Clinical Photographs: Systematic and Random Error in Multimodal Large Language Models. [PDF]
Güler I, Kraus A, Grieb G, Stelling H.
europepmc +1 more source
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang +7 more
wiley +1 more source
Comparison of Multimodal Large Language Models and Oral and Maxillofacial Radiologists in the Detection of Incidental Findings on Panoramic Radiographs: A CBCT-Referenced Diagnostic Accuracy Study. [PDF]
Çapar İ +4 more
europepmc +1 more source

