Large language models (LLMs) are increasingly used as on-demand assistants for software tasks, yet their educational value under everyday, unguided use remains uncertain. This study tests whether unrestricted LLM access improves beginners’ code comprehension. In a controlled classroom experiment, undergraduate novices...
Thomas Naprawski, Anna Pilarczyk-Naprawski, Jakub Swacha et al.· Proceedings of the Internati...· 0 citations
Large language models (LLMs) are increasingly deployed in interactive settings where users provide feedback in natural language, often with an emotional component. This paper examines whether such feedback is associated with systematic changes in LLM outputs. Using 42 Polish prompts across six everyday domains and 20 a...
Marina Skierkowska, Adam Kurowski, Szymon Zaporowski et al.· Proceedings of the Internati...· 0 citations
Efficient fine-tuning of an automatic speech recognition system is a key challenge in machine learning research. A major obstacle is accurately recognizing jargon-heavy, domain-specific speech in expert discussions, such as those among lawyers, doctors, or engineers. We propose an automated machine-learning approach th...
Adam Kurowski, Szymon Zaporowski, Bożena Kostek et al.· Proceedings of the Internati...· 0 citations
Large language models (LLMs) are typically deployed as standalone systems, although many professional tasks require structured collaboration among specialists. This paper presents a proof-of-concept design and preliminary evaluation of a multi-agent LLM framework for multidisciplinary case deliberation, using a simulat...
Andrzej Czyżewski, Maciej Szczodrak, Marta Zielonka· Proceedings of the Internati...· 0 citations
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Machine learning has increasingly been applied to forecast sports outcomes, assess player performance, estimate injury risk, and model in-game events, yet the reported evidence remains fragmented across sports and validation practices.
To address this fragmentation, this systematic review followed PRISMA 202...
Andres Gregori, Ivan Reyes-Pedroza, A. Y. Barrera-Animas et al.· Frontiers of Computer Scienc...· 0 citations
These findings characterise the correlates of perceived usefulness and intention to use within each feedback layer, supporting human-centred designs that preserve student judgement and instructor oversight.
Pedro C. Mendonça, Filipe Quintal, Mário A. T. Figueiredo et al.· Frontiers in Education· 0 citations
With the increasing transportation load of heavy-haul railways, rail damages continuously accumulate and exhibit significant spatial heterogeneity. Conventional rail replacement strategies based on fixed cycles, expert experience, or simple threshold rules often fail to balance safety and economy, leading to both over-...
Le Ma, Zhichun Yan, Jianyou Li et al.· International Journal of Com...· 0 citations
Background:
Heart failure with preserved ejection fraction (HFpEF) accounts for approximately 50% of HF cases, predominantly affecting older adults with comorbidities such as hypertension, diabetes, and obesity. Despite the breakthrough provided by angiotensin receptor-neprilysin inhibitors (ARNI), approximately 30%...
Yong Il Ho, Zhi-Quan Wang, Jong-Suk Mun et al.· Bulgarian Cardiology· 0 citations
Respiratory syncytial virus (RSV) is the leading cause of infant lower respiratory tract infection (LRTI) and hospitalisation worldwide. Maternal RSV prefusion F (RSVpreF) vaccination protects infants through transplacental antibody transfer. We aimed to synthesise the efficacy, real-world effectiveness, and safety...
Gokce Naz Kucukbas Ozonder, A. Yavuz· Frontiers in Public Health· 0 citations
Objective This study examined a parallel mediation model in which empathy was hypothesized to be associated with prosocial behavior through two theoretically distinct pathways: a capability-oriented pathway via self-efficacy and an existential-motivational pathway via meaning in life, among Chinese university students....
Wei-Kuan Si, Pan-Jia Chen, Jie Cao et al.· Frontiers in Psychology· 0 citations
With technological advancements, the influence of small-batch flexible production models in manufacturing continues to grow, making the flexible job shop scheduling problem a key approach to addressing these industry challenges. Simultaneously, the impact of random machine failures and limited buffers cannot be underes...
Deploying large language models (LLMs) in clinical settings is limited by security, reliability, latency, and accessibility concerns that favor smaller, on-device or on-premise models. However, these smaller models may struggle to meet accuracy requirements. While fine-tuning and retrieval-augmented generation (RAG) ca...
Kiran Bhattacharyya, S. Kamabattula· PLOS Digital Health· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
