Skip to content

Category

large language models

2,652 papers

#large language models Open access Sep 2026

AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations

Multi-agent large language model simulations have the potential to model complex human behaviors and interactions. If the mechanics are set up properly, unanticipated and valuable social dynamics can surface. However, it is challenging to consistently enforce simulation mechanics while still allowing for rich and emerg...

Jenny Ma, Riya Sahni, Karthik Sreedhar et al. · 0 citations
#large language models Open access Sep 2026

Generative debunking of climate misinformation

Misinformation is a persistent roadblock to progress on climate change, and the ubiquitous, rapid spread of misinformation means that manual solutions are inadequate to meet the scale of the problem. While many studies have developed methods for automated detection of misinformation, the generation of effective debunki...

Francisco Zanartu, Lea Frermann, Yulia Otmakhova et al. · 0 citations
#artificial intelligence Review Open access Sep 2026

The Evolving Security of the Internet of Vehicles: A Survey from Classical Machine Learning to Large Language Models, Adversarial Robustness, and Explainable AI

The Internet of Vehicles (IoV) connects vehicles, roadside infrastructure, and cloud or edge platforms to support safer and more efficient transportation. This connectivity also exposes vehicular networks to message spoofing, denial-of-service, and man-in-the-middle attacks, and to threats that target the machine-learn...

Meisam Sharifi Sani, Saeid Iranmanesh, Raad Raad · 0 citations
#artificial intelligence Open access Sep 2026

APPLICATION OF ARTIFICIAL INTELLIGENCE IN PHARMACOVIGILANCE FOR AUTOMATED ADVERSE DRUG REACTION DETECTION AND REGULATORY COMPLIANCE

Pharmacovigilance is essential for continuous monitoring of medicine safety and prevention of adverse drug reactions. Traditional pharmacovigilance approaches depend mainly on spontaneous reporting and manual evaluation, resulting in underreporting, delayed signal identification and difficulties in managing large healt...

Tippareddy Narendra*, B. Ramarao, M. Prasada Rao · 0 citations
#artificial intelligence Review Open access Sep 2026

Artificial intelligence in otolaryngology: current applications, limitations, and future perspectives.

Current evidence suggests that AI may serve as a valuable adjunctive tool in otolaryngology practice; however, further prospective multicenter studies, standardized validation frameworks, and ethical oversight remain necessary before widespread adoption can be achieved.

E. Litsou, Ioannis Tzotzis, Theodoros Malisovas et al. · 0 citations
#artificial intelligence Open access Sep 2026

Generative AI Driving the Paradigm Shift in Smart Education: Technology Layering, Application Scenarios, and Collaborative Governance

The explosive development of generative artificial intelligence is profoundly reshaping the technological pathways and application forms of smart education. Employing a narrative review methodology, this paper systematically examines the technological evolution and application trajectory of AI-empowered smart education...

Bowen Cai · 0 citations
#large language models Open access Sep 2026

Fall 2026 Environmental Sciences Seminar Series, Jingyan Huang

This seminar presents a game-based social simulation of emergency response to water contamination, in which large language model (LLM) agents represent stakeholders with diverse roles, information, incentives, and constraints. Through unfolding crisis scenario, the simulation explores how communication, coordination, a...

Jingyan Huang · 0 citations
#large language models Open access Sep 2026

Clinical AI and Precision Medicine: Philosophical Questions About Labels, Disease, and Evidence

Precision medicine is often framed as a move from “average-patient” care toward prevention, diagnosis, and treatment tailored to individual variability. This aspiration has been articulated in major policy and scientific calls for a new evidence-generating health system and a new taxonomy of disease [ 1 , 2 ]. Yet, the...

Antonis A. Armoundas · 0 citations
#large language models Open access Sep 2026

Comparing Neighbour Retrieval and Interlinkage Graphs for Sustainable Development Goal Classification with Large Language Models: code, evaluation splits and SDG interaction matrices

Code and artefacts for the Scientific Reports submission. Contains the four analysis notebooks; the reconstructed goal-level SDG interaction matrix and the two text-derived target-level matrices; raw LLM probability arrays for four backbones; the evaluation splits with DOI lists, manifests and labels at goal and target...

Adrian Brașoveanu, Albert Weichselbraun, Lyndon Nixon et al. · 0 citations
#large language models Open access Sep 2026

From Topology to Troubleshooting: Evaluating Multimodal Large Language Models on Network Management

Large Language Models (LLMs) have been widely applied in various areas due to their comprehension and reasoning capabilities. Although recent research has explored to utilize LLMs in networking areas, the applications in real network environments are still in the early stage due to models’ limitations and inaccurate ou...

Yongqing Zhu, Yoke Moon Wong, Huaqun Guo et al. · 0 citations
#large language models Open access Sep 2026

Concordance and influence of large language model treatment recommendations versus hematologist decision-making in relapsed/refractory diffuse large B-Cell lymphoma: the Ariadne's thread study

Large language models (LLMs) achieve high scores on medical benchmarks, yet their clinical reasoning capabilities in complex, real-world scenarios remain poorly characterized. This thesis evaluates LLM performance in treatment selection for relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL), a scenario requi...

Francesco <1989> Malaspina · 0 citations

From tech blogs

See all →

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.