Results 221 to 230 of about 52,458 (341)
Putting reasons back into reasoning: how genuine reasoning is inference-based and why neuro-symbolic NLI could achieve it. [PDF]
Gubelmann R.
europepmc +1 more source
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic +3 more
wiley +1 more source
AGREE-YOLO: A Framework for Seafood Recognition and Cross-Cultural Gastronomic Recommendation. [PDF]
Hou M +5 more
europepmc +1 more source
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Transformer-based operon prediction using textual representations of gene pairs. [PDF]
Assaf R, Fakhri B.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Inference of Probabilistic Grammars in Different Rules Systems of Natural Languages
László Kovács, Zsolt Tóth
openalex +1 more source
Non-Entailed Subsequences as a Challenge for Natural Language Inference [PDF]
R. Thomas McCoy, Tal Linzen
openalex +1 more source
Clinical Note Generation From Doctor-Patient Conversations Using Parameter-Efficient Fine-Tuning Large Language Models: Comparative Study. [PDF]
Ahmed S, Yousuf Sadeque F.
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source

