A comparative analysis of the performance of leading large language models on the endodontics section of the dentistry specialization exam in Türkiye. [PDF]
Başkan B, Başkan HK, Koç N.
europepmc +1 more source
FlipAttack: Jailbreak LLMs via Flipping
This paper proposes a simple yet effective jailbreak attack named FlipAttack against black-box LLMs. First, from the autoregressive nature, we reveal that LLMs tend to understand the text from left to right and find that they struggle to comprehend the ...
Fu, Jinlan +5 more
core
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal +6 more
wiley +1 more source
Automated PROMISE V2 Scoring from PSMA PET/CT Reports Using Large Language Models: A Comparative Evaluation of Prompt Design and Model Performance. [PDF]
Speicher T +9 more
europepmc +1 more source
LLMs\u27 Classification Performance is Overclaimed
In many classification tasks designed for AI or human to solve, gold labels are typically included within the label space by default, often posed as which of the following is correct?
Xu, Hanzi +8 more
core
Bridging Academic Research and Business Practices at the Crossroad of Circular Economy and the SDGs
ABSTRACT The global shift toward sustainability has amplified interest in the Circular Economy, which aims to optimize resource use and minimize waste. In parallel, the Sustainable Development Goals (SDGs) provide a universal framework for addressing social, environmental, and economic challenges.
Corentin Juin, Andrea Nicolodi
wiley +1 more source
Personal Health Large Language Models and the Negotiation of Medical Authority in Clinical Care: Opportunities, Risks, and Governance. [PDF]
Xie W, Liu J, Liu S.
europepmc +1 more source
Achieving self-healing code with LLMs
This study investigates LLMs for their potential in achieving self-healing capabilities in code. Ten LLMs were evaluated using a dataset of 76 problems sourced from Leetcode in two programming languages: C++ and Java.
Toma, Johan
core
Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao +3 more
wiley +1 more source
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari +2 more
wiley +1 more source

