small language model

CogniGraph: Governed Graph-of-Agents Reasoning over Knowledge Graph Topologies with Semantic SHACL Validation and Constrained F1 Evaluation

Abstract. Multi-agent large language model (LLM) systems are increasingly deployed for regulatoryand high-stakes reasoning, yet none of the prevailing flat-topology frameworks—AutoGen, CrewAI,LangGraph—enforce semantic governance over what each agent may say, in whose name, and withinwhich scope. The result is what we...

On the Robustness of Vision-Language Models in Zero-Shot Privacy Classification

Leveraging vision language models for digit recognition on digital measuring devices: a comparative analysis

Large language models (LLMs) with multimodal input capability have been demonstrated in various applications. Vision language models (VLMs), which were developed from LLMs, can process and learn both visual and textual data simultaneously, enabling them to generate descriptive text from images. This study explores the...

FAIR PERSONALIZATION & EXTERNAL VALIDITY AT THE LIMIT Calibration Privilege, Exclusion Risk, Subgroup Uncertainty, Cross-Site Transfer, Device Heterogeneity, and Equitable Adaptive BCI

FAIR PERSONALIZATION & EXTERNAL VALIDITY AT THE LIMITCalibration Privilege, Exclusion Risk, Subgroup Uncertainty, Cross-Site Transfer, Device Heterogeneity, and Equitable Adaptive BCI Feng Cheng-en (33) x Starli Does personalization help people differently - or does it simply make access easier for the people who were...

PREreview of "Within and between sleep and cognition: associations in older community dwelling individuals"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23071859. Authors of the review Name: Stephanie R. U, ORCID: https://orcid.org/0000-0002-6220-4661 Bio: Stephanie U is a PhD candidate whose work investigates the role of circadian...

Guideline Concordance of Antibiotic Recommendations From Large Language Models in Dentistry: A Vignette-Based Evaluation in Georgian and English

Purpose Antimicrobial resistance is one of the most serious threats to global health, and inappropriate prescribing in primary care is among its principal drivers. Dentistry contributes disproportionately relative to its clinical scope: dental practitioners are estimated to prescribe around one tenth of all commonly us...

Auditing a Frozen Neural Goodness-of-Fit Test for Logistic Regression: Validity, Certified Consistency and Local Power of DeepGOF-1

Reproducibility archive (version 2.1) for the paper Auditing a Frozen Neural Goodness-of-Fit Test for Logistic Regression: Validity, Certified Consistency and Local Power of DeepGOF-1. Version 1.0.0 of the DeepGOF-1 archive is 10.5281/zenodo.22113220. DeepGOF-1 is a goodness-of-fit test for logistic regression whose st...

Making Continuity Visible: Cognitive Tools for Language Models — A Framework Preprint

Behavioral continuity in a stateless language model — the consistency of its decisions, style, values, andrelational stance — is observable in interaction, but the external state conditions that support it are hard toinspect, compare, and transport. We present EFS, a structured external state-injection scaffold, as a m...

TOWARD SPATIAL INTELLIGENCE AND PHYSICALLY REALISTIC WORLD MODELS

Spatial intelligence requires models to infer and maintain coherent three-dimensional structure, preserve objects and relations across viewpoints, compose interactable environments, and respect geometric and physical constraints. Progress toward such world models is limited by two forms of data scarcity: a shortage of...

How Far Does a Given Level of Descriptive Granularity Remain Valid in Models of Biological Behavior?A Comparative Research Program for Reproduction, Prediction, Intervention, and Coarse-Graining

This research note proposes a comparative program for examining how far different levels of descriptive granularity remain sufficient in models of biological behavior. Rather than assuming that one explanatory level is universally correct, the paper separates model scope, granularity, form, available information, and l...

Evaluating Large Language Models with a Unified Prompt-Based Pipeline for Turkish News Summarization and Tag Extraction

News texts are critically important in facilitating readers quick access to accurate information in today’s substantially increasing information-driven world. The very fast pace of news flow and the abundance of highly informative data across various fields require the analysis of summarization and tag extraction tasks...

OSIRIS v4.2.1: a governed local console for a living language model

OSIRIS is a local-first console built around a small language model (osiris.nclm) that learns from every conversation and from the author's documents, and answers in its own voice only after passing a held-out test (30 held-out exchanges at ≤ 2.0 bits/byte and below a unigram baseline). Until then a local Ollama model...