Results 141 to 150 of about 106,494 (293)

Simulating LLM-to-LLM Tutoring for Multilingual Math Feedback

CoRR
Preprint, in ...
Junior Cedric Tonga, KV Aditya Srivatsa, Kaushal Kumar Maurya, Fajri Koto, Ekaterina Kochmar   +4 more
openaire   +2 more sources

Rating metaphors with LLMs

Our study examines the integration of large language models (LLMs) on psycholinguistic research by prompting several LLMs to rate figurative expressions on familiarity, aptness, concreteness, metaphoricity, and constituency, with two manipulations: (1 ...
Mayank, Laura Pissani
core   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Towards Reliable Agentic LLMs

In recent years, rapid advancements in large language models (LLMs) have steadily shifted their applications from simple chatbots to increasingly complex, autonomous agents.
Wang, Wenxiao
core   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
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, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Medical Students’ Perceptions of Large Language Models in Healthcare: A Multinational Cross-Sectional Study

Journal of Medical Education and Curricular Development
Background Artificial intelligence (AI) and large language models (LLMs), are potential tools for enhancing healthcare delivery and clinical research.
Faiza Ejas, Sameer Asim Khan, Amina Mujahid, Fatma AlJoker, Hans Mautong, Geovanny Alvarado-Villa, Abhishek Kashyap, Muhammad Umer Yasir, Kindie Woubshet Nigatu, Nethra Jain, Nandhini Iyer, Aman Sandhu, Shahab Sharafat, Sara Yahya, Mohamd Mahmoud Ghaly, Ibrahim Ibrar, Aakanksha Singh, Harpeet Grewal, Ivan Alfredo Huespe, Priyal Mehta, Zara Arshad, Rahul Kashyap, Faisal A Nawaz   +22 more
doaj   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Local LLMs as a plasticity layer for fixed cloud LLMs

Discover Artificial Intelligence
The central role of local LLMs is not merely to approximate cloud models at a smaller scale, but also to provide a practical user-side implementation of persistent adaptation that is difficult to support universally within shared cloud services.
Kei Itoh
doaj   +1 more source

Personalised Abusive Language Detection Using LLMs and Retrieval-Augmented Generation

Large language models (LLMs) can be useful tools for detecting abusive language on social media. However, LLMs are not always effective as they can overlook the diversity among individuals, which can lead to severe consequences.
Yao, Tsungcheng, Binnewies, Sebastian, Foo, Ernest   +2 more
core