Results 41 to 50 of about 106,494 (293)

AI-Powered Curricula: Unpacking the Potential and Progress of Generative Technologies in Education

Ubiquity Proceedings
The aim of this narrative review is to understand how Artificial Intelligence (AI), specifically generative AI (e.g. ChatGPT) is thought to be used to support teachers in content authoring and curriculum production.
Duygu Bektik, Thomas Daniel Ullmann, Chris Edwards, Christothea Herodotou, Denise Whitelock   +4 more
doaj   +1 more source

An Experimental Study of Integrating Fine-tuned LLMs and Prompts for Enhancing Mental Health Support Chatbot System [PDF]

Background: Conversational mental healthcare support plays a crucial role in aiding individuals with mental health concerns. Large language models (LLMs) like GBT and BERT show potential in enhancing chat bot-based therapy responses.
McGuinness, S., Yu, H.
core   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Benchmarking LLMs via Uncertainty Quantification [PDF]

The proliferation of open-source Large Language Models (LLMs) from various institutions has highlighted the urgent need for comprehensive evaluation methods.
Tu, Z, Yilmaz, E, Ye, F, Wang, L, Yang, M, Shi, S, Wong, DF, Pang, J   +7 more
core   +4 more sources

A multi-dimensional concept for evaluating NLP-based robots in healthcare scenarios

Current Directions in Biomedical Engineering
Background: In the past decades, robots have transformed the healthcare sector by supporting clinical staff in various tasks. Applications of range from robot-supported surgical interventions and imaging, via healthcare logistics to cleaning and social ...
Wittenberg Thomas, Kamin Stefan, Lang-Richter Nadine, Simon Martina, Assadi Galia, Niessen Cornelia, André Elisabeth, Manzeschke Arne   +7 more
doaj   +1 more source

Artificial Intelligence in Software Testing and Beyond: A Review of Current Practices and Emerging Challenges

Acta Informatica Pragensia
Background: Artificial intelligence (AI) is increasingly used both to test software (T1) and to assure AI-based systems (T2), with adjacent software-engineering work that shapes testing practice (T3).
Codrina-Victoria Lisaru, Claudiu-Vasile Kifor   +1 more
doaj   +1 more source

Evaluating LLMs at Detecting Errors in LLM Responses

CoRR
With Large Language Models (LLMs) being widely used across various tasks, detecting errors in their responses is increasingly crucial. However, little research has been conducted on error detection of LLM responses. Collecting error annotations on LLM responses is challenging due to the subjective nature of many NLP tasks, and thus previous research ...
Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, Jihyun Janice Ahn, Yilun Zhao 0001, Xiaoxin Lu, Nan Zhang, Yusen Zhang 0001, Ranran Haoran Zhang, Sujeeth Reddy Vummanthala, Salika Dave, Shaobo Qin, Arman Cohan, Wenpeng Yin 0001, Rui Zhang 0037   +14 more
openaire   +2 more sources

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

When the thesis passes but the mind doesn’t: Generative artificial intelligence, proxy regimes and epistemic agency in universities

Transformation in Higher Education
Generative artificial intelligence (GenAI) tools increase the speed and polish of academic writing, but they also destabilise higher education’s reliance on written artefacts as proxies for understanding.
Marcina Singh
doaj   +1 more source

LLM Chemistry Estimation for Multi-LLM Recommendation

CoRR
Multi-LLM collaboration promises accurate, robust, and context-aware solutions, yet existing approaches rely on implicit selection and output assessment without analyzing whether collaborating models truly complement or conflict. We introduce LLM Chemistry -- a framework that measures when LLM combinations exhibit synergistic or antagonistic behaviors ...
Huascar Sanchez, Briland Hitaj
openaire   +3 more sources