The diagnosis of leaf diseases in medicinal and non-mainstream plants is often hindered by the scarcity of labeled samples, whereas existing deep learning methods generally rely on large-scale labeled datasets. Prototype-based few-shot methods are constrained by the limited number of support samples and fine-grained vi...
Wen Chen, Xin Hu, Bo Ma et al.· Horticulturae· 0 citations
Retrieval-Augmented Generation (RAG) has emerged as a practical framework for augmenting large language models (LLMs) with external knowledge sources. However, standard RAG pipelines often remain computationally intensive and exhibit sensitivity to input noise, particularly in real-world scenarios where queries can be...
Cardiovascular risk is increasingly recognized as relevant to cognitive aging and dementia-related brain changes, yet its relationship to multimodal neuroimaging biomarkers of amyloid, tau, neurodegeneration, and vascular injury (AT(N)-V) remains incompletely understood in racially and ethnically diverse cohorts. W...
K. Espejo, Ryan Rulkens, C. Hayes et al.· Frontiers in Aging Neuroscie...· 0 citations
Abstract The introduction of corporate criminal liability into Spanish law through Organic Law 5/2010 and its substantial reform by Organic Law 1/2015 marked a decisive departure from the traditional maxim societas delinquere non potest. Article 31 bis of the Spanish Penal Code now permits criminal liability of legal p...
Maria Rodriguez-Lopez· Zenodo (CERN European Organi...· 0 citations
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**Abstract** We present a simple two-compartment model of CO₂ mixing with air to illustrate the second law of thermodynamics through three complementary propositions. Proposition 1 recalls the standard monotonic relaxation of local concentration (with possible overshoot). Proposition 2 introduces a local Boolean probe—...
Sai Luk Lau· Zenodo (CERN European Organi...· 0 citations
Preprint, not peer reviewed. This record contains the article, the Python scripts and logs that produce every number and table in it (including the interval-arithmetic certificates), and the LaTeX source. Plain-language summary Causal set theory models spacetime as a discrete set of events ordered by cause and effect....
Shigeo Kaneko· Zenodo (CERN European Organi...· 0 citations
This paper is about games in which several parties move at the same time and one step decides the round: a lottery, a pot shared by its players, a bet against a bank, a hand of cards, a move on a board. Such a round is usually a program run by an operator. The method disclosed here makes the round a formula. The round...
Taumorrow· Zenodo (CERN European Organi...· 0 citations
Fixed-length feature sequences for Indian Sign Language (ISL) recognition, collected for the final-year project "Vāksetu: Edge-Optimized ISL Recognition for Assistive Communication" (Goa College of Engineering). The dataset consolidates all training data sources of the project into one HDF5 file with per-sample provena...
Joseph Jonathan Fernandes· Zenodo (CERN European Organi...· 0 citations
This work presents a comprehensive, plain-language framework detailing the symmetrical relationship between the forward construction of matter and its gravitational reversal. The hypothesis outlines a five-part model spanning from fundamental fields to black hole formation: Part 1: Building (Forward): Matter is constru...
Scripts, saved outputs and figures for a pilot study of Qwen2.5-3B-Instruct on SciFact: dense retrieval evaluation (300 queries), paired model-only versus RAG latency (100 queries), post-hoc verification, and a retrospective score-gated verification analysis. The SciFact corpus is not included and must be obtained from...
Akbar Safoev· Zenodo (CERN European Organi...· 0 citations
Agentic coding and operations work is usually delegated to a model running an open tool loop: the model decides each next step, re-reads its growing transcript every turn, and stops when it believes it has finished. That arrangement is affordable on a provider with prompt caching, where each turn pays only for new toke...
This work investigates how post-training weight quantization affects the knowledge memorized by a language model. To this end, we train a transformer with 1.1 million parameters on synthetic biographies, a setting in which the amount of information is known exactly, and we vary both the information load and the number...
Stefano Fazzino· Zenodo (CERN European Organi...· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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