Results 131 to 140 of about 89,825 (246)

Scheming Ability in LLM-to-LLM Strategic Interactions

CoRR
As large language model (LLM) agents are deployed autonomously in diverse contexts, evaluating their capacity for strategic deception becomes crucial. While recent research has examined how AI systems scheme against human developers, LLM-to-LLM scheming remains underexplored.
openaire   +3 more sources

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

A Review of Applying Large Language Models in Healthcare

IEEE Access
In response to the growing demand for healthcare and the increasing importance people place on medical services, efficiently meeting these needs within the constraints of limited healthcare resources is of great social and economic benefit.
Qiming Liu, Ruirong Yang, Qin Gao, Tengxiao Liang, Xiuyuan Wang, Shiju Li, Bingyin Lei, Kaiye Gao   +7 more
doaj   +1 more source

LLMs Judging LLMs: A Simplex Perspective

Given the challenge of automatically evaluating free-form outputs from large language models (LLMs), an increasingly common solution is to use LLMs themselves as the judging mechanism, without any gold-standard scores. Implicitly, this practice accounts for only sampling variability (aleatoric uncertainty) and ignores uncertainty about judge quality ...
Vossler, Patrick, Xia, Fan, Mai, Yifan, Subbaswamy, Adarsh, Feng, Jean   +4 more
openaire   +2 more sources

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

The Illusion of Explainability with LLMs and LLM-Agents

The formal linguistic capabilities of Large Language Models (LLMs) are increasingly intersecting with the field of Explainable Agency (XAg). The growing adoption of LLM-agents has heightened the need to explain their behaviour to users. However, current methods consistently fail to meet desirable properties of human-centric explanations.
Montese, Sara, Alvarez-Napagao, Sergio, Gimenez-Abalos, Victor, Cortés, Ulises   +3 more
openaire   +2 more sources

LLM-Evaluation Tropes: Perspectives on the Validity of LLM-Evaluations

CoRR
Large Language Models (LLMs) are increasingly used to evaluate information retrieval (IR) systems, generating relevance judgments traditionally made by human assessors. Recent empirical studies suggest that LLM-based evaluations often align with human judgments, leading some to suggest that human judges may no longer be necessary, while others ...
Laura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton 0001, Faegheh Hasibi, Mark Sanderson, Nick Craswell   +8 more
openaire   +3 more sources

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

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges

IEEE Access
Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question answering, etc.
Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad, Sadman Sakib, Most Marufatul Jannat Mim, Jubaer Ahmad, Mohammed Eunus Ali, Sami Azam   +8 more
doaj   +1 more source