The rapid development of artificial intelligence (AI), especially the fast iteration and widespread deployment of large language models (LLMs), has ushered in a new paradigm for the intelligent augmentation of electronic test instruments and automatic test systems (ATS). By combining the powerful reasoning and generati...
Jie Hu, Yuanjun Li, Chunhui Li et al.· International Journal of Adv...· 0 citations
Large language model (LLM)-based multi-agent systems face three open challenges in high-stakes decision support: hallucination control in structured output generation, coupling of semantic reasoning with deterministic numerical simulation, and end-to-end auditability of multi-step agentic workflows. We present
Mac...
Yan Liu, Jun-Yi Shangguan, Qian-Yi Wang et al.· Scientific Reports· 0 citations
This paper systematically examines bias in Large Language Models (LLMs) through the lens of Data Feminism. The research demonstrates that bias in LLMs is not an issue of technical neutrality, but rather a systematic reproduction of societal power structures embedded in data collection, algorithmic design, and output ge...
Lihao Wang· Applied and Computational En...· 0 citations
Large language models (LLMs) are increasingly used for qualitative analysis in substance use research, yet their performance relative to human coders remains underexplored. This study compares ChatGPT-4.0 with human coders in performing qualitative coding tasks using NIH grant abstracts as a test case, focusing on the...
Sarah A. Alkhatib, Nadiya Jiwa, Dallin Judd et al.· PLoS ONE· 0 citations
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ABSTRACT Despite significant advances since 2023 in large language model (LLM) capabilities and the introduction of web‐enabled search functionality, citation hallucination remains a persistent problem in AI‐generated academic content. We test GPT‐4o, DeepSeek V3, web‐enabled GPT‐4o, and web‐enabled GPT‐5.1 across prom...
Joy A. Buchanan, Stephen E. Hill, Olga Shapoval· Southern Economic Journal· 0 citations
Security operations center (SOC) analysts must interpret large volumes of alerts under severe time pressure, and this burden grows more demanding when advanced persistent threat (APT) activity is distributed across endpoint telemetry, network indicators, host context, and threat intelligence. This paper presents SecLM,...
Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Yashar Mousavi et al.· SPIE Applications of Machine...· 0 citations
BACKGROUND As the population of survivors of cancer grows and new information technologies become widespread in Hong Kong, survivors of cancer increasingly seek ongoing care and support information from large language models (LLMs). While these tools provide immediate conversational responses, they carry substantial ri...
Haoyu An, Wanshu Huang, Rachel Tsoi Man Cheung et al.· Journal of Medical Internet...· 0 citations
This research examines whether large language model agents can produce analytically useful evidence for advertising testing when treated as synthetic respondents rather than as substitutes for human consumers. We report an in-silico comparative post-test of two television advertisements in the French telecommunications...
Marta Trales, Guillaume Hochard, Christophe Benavent· 0 citations
Purpose Business education is stuck in outmoded ideas of business, the market and the world. We have known this for decades, but little has changed. As problems like climate change and inequality worsen, the challenge of creating responsible management education is not to find ways to integrate new electives into that...
Andrew John Hoffman· Journal of responsible manag...· 0 citations
Code, frozen prompt, study protocol and cached model outputs needed to recompute all results of the manuscript 'Agreement-gated fusion of a vision foundation model and a multimodal large language model for reliable wheat disease diagnosis across image sources' (submitted to Precision Agriculture). Images are not redist...
Peng Jia, Zhang PingChuan· Zenodo (CERN European Organi...· 0 citations
Under the background of digital transformation in the construction industry, Building Information Modeling (BIM) and artificial intelligence (AI) have become an important technical path to promote the intelligent upgrading of the construction industry. AI-BIM integration improves design efficiency, project control qual...
Guan-Cheng Yang· Applied and Computational En...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
