Results 31 to 40 of about 26,588 (249)

BERTugues: A Novel BERT Transformer Model Pre-trained for Brazilian Portuguese

Semina: Ciências Exatas e Tecnológicas
Large Language Models (LLMs) are trained for English or multilingual versions, with superior performance in English. This disparity occurs because, in the training of multilingual models, only a relatively small amount of data is added for each ...
Ricardo Mazza Zago, Luciane Agnoletti dos Santos Pedotti   +1 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Clinical efficacy of pre-trained large language models through the lens of aphasia

Scientific Reports
The rapid development of large language models (LLMs) motivates us to explore how such state-of-the-art natural language processing systems can inform aphasia research. What kind of language indices can we derive from a pre-trained LLM?
Yan Cong, Arianna N. LaCroix, Jiyeon Lee
doaj   +1 more source

Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications

IEEE Access
The emergence of large language models (LLMs) has significantly impacted various fields, from natural language processing to sectors like medicine and finance.
Ali Maatouk, Kenny Chirino Ampudia, Rex Ying, Leandros Tassiulas   +3 more
doaj   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Using AI-driven Large Language Models (LLMs) in English as a Foreign Language Education [PDF]

Maǧallaẗ Kulliyyaẗ Al-Tarbiyyẗ Ǧamiʿaẗ Banhā
Using Artificial Intelligence (AI) models in English language education shaped the theoretical and practical directions in Teaching English as a Foreign Language (TEFL) and its pertinent literature.
Rasha Dorgham, Lamyaa Bin Obaid
doaj   +1 more source

Secret Use of Large Language Model (LLM)

Proceedings of the ACM on Human-Computer Interaction
The advancements of Large Language Models (LLMs) have decentralized the responsibility for the transparency of AI usage. Specifically, LLM users are now encouraged or required to disclose the use of LLM-generated content for varied types of real-world tasks. However, an emerging phenomenon, users' secret use of LLM ,
Zhiping Zhang, Chenxinran Shen, Bingsheng Yao, Dakuo Wang, Tianshi Li 0001   +4 more
openaire   +2 more sources

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Tx-LLM: A Large Language Model for Therapeutics

CoRR
Developing therapeutics is a lengthy and expensive process that requires the satisfaction of many different criteria, and AI models capable of expediting the process would be invaluable. However, the majority of current AI approaches address only a narrowly defined set of tasks, often circumscribed within a particular domain.
Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu 0001, Eeshit Dhaval Vaishnav, Byron Lee, S. Sara Mahdavi, Christopher Semturs, David J. Fleet, Vivek Natarajan, Shekoofeh Azizi   +9 more
openaire   +3 more sources

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