Retrieval-augmented generation (RAG) systems for scientific literature require evidence-based choices of document segmentation, representation, retrieval, and generation components, particularly when the source collection varies in topical specificity and document structure. This study addresses the lack of an end-to-e...
Karla Topić, Marina Bagić Babac, Vedran Mornar· Information· 0 citations
ABSTRACT Early childhood is a sensitive period for cognitive, language, and socio‐emotional development, with parental engagement playing a central role. In Argentina, families facing socioeconomic adversity often encounter barriers that limit access to developmentally enriching parent–child activities; heightening dev...
Personality science compresses a person into a small readable coordinate system, and the content science of the companion papers does the analogous thing for writing, eight character axes that collapse to two interpretable dimensions, matter against manner and originality. This paper reports the coupling between those...
Jason Duke· Zenodo (CERN European Organi...· 0 citations
An exact reconstruction of the published order-adjusted killer-whale movement model reproduces the pilot-whale-sound coefficient (beta = -82.134, robust p = 0.02064), but only two of five matched animals show the expected within-whale direction and the exact paired sensitivity is nonsignificant (p = 0.40625). This publ...
Cody Miller· Zenodo (CERN European Organi...· 0 citations
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China’s fast fashion industry is one of the world’s most dynamic and expansive markets. As a key consumer group, Chinese Generation Z (Gen Z) females focus not only on chasing trends and looking for affordable products, but also on the environmental impacts during the fashion consumption process. Nevertheless, their un...
I can generate a working AI specification in about five minutes, and it runs across five different AI platforms without being rewritten for each one. This paper describes the method that got me there and how I checked that it was real. The method is a loop. Build a specification for a job, test it, then pull out the pa...
Robert E. Bankston· Zenodo (CERN European Organi...· 0 citations
This inference originated from a conversation in which a large language model invoked knowledge from the context and integrated new concepts. It was found that after a large language model invokes existing knowledge, it does not merely copy it, but may recombine existing knowledge with other content. From this, it is i...
ling liu· Zenodo (CERN European Organi...· 0 citations
EASE-CloudNet is a two-phase safety-alignment framework for generative small language models (SLMs) deployed on resource-constrained edge nodes that formulate deployment cost as a differentiable gate-conditioned expectation, so measured latency and energy constants affect the router through its reasoning probability.
Introduction Individualized prediction of relapse-related outcomes may support treatment selection and monitoring in relapsing multiple sclerosis. However, existing studies differ substantially in clinical purpose, target outcomes, modeling approaches, and validation strategies. Methods We conducted a systematic review...
Martin Budil, M. Rožánek, Petra Petrová· Frontiers in Public Health· 0 citations
This dataset supports the review “Large Language Models for Small-Molecule Discovery: Model Taxonomy, Chemical Grounding, and Experimental Evidence”. It provides a structured, machine-readable evidence base for the literature synthesis, including: (i) a literature inventory and search/screening seed; (ii) model metadat...
Liuqing Yang, Zhongjian Wang, Hong Wan et al.· Zenodo (CERN European Organi...· 0 citations
An exact reconstruction of the published order-adjusted killer-whale movement model reproduces the pilot-whale-sound coefficient (beta = -82.134, robust p = 0.02064), but only two of five matched animals show the expected within-whale direction and the exact paired sensitivity is nonsignificant (p = 0.40625). This publ...
Cody Miller· Zenodo (CERN European Organi...· 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.
