Skip to content

Category

small language model

2,967 papers

#small language model Open access Sep 2026

Root, Suffix, or Byte? A Reproducible Study of Sub Word Tokenization for a Morphologically Rich Language (Russian)

Tokenization is the first design choice in a language model and one of the most frequently overlooked for morphologically rich languages, as it directly shapes sequence length and how related word forms are segmented into reusable sub word units. Using Russian as a case study, we train sub word tokenizers from scratch...

Mardiyeva Shoxzoda Totliboy Qizi, S. Djamaldinova, Sabina Umirzakova · 0 citations
#small language model Open access Sep 2026

DEVELOPMENT OF AN INTERACTIVE MATHEMATICS MODULE BASED ON PROBLEM-BASED LEARNING AND ISLAMIC VALUES

A preliminary analysis at SMA Muhammadiyah Al Amin Sorong identified limited use of interactive learning media, low student engagement, and insufficient integration of Islamic values in mathematics learning. Therefore, this study aimed to develop an interactive digital mathematics module based on Problem-Based Learning...

N. F. Trisnawati, Hidayani Hidayani, Arie Anang Setyo et al. · 0 citations
#small language model Open access Sep 2026

The effect of a Dutch early language intervention on children's oral language skills: a cluster randomized controlled trial.

BACKGROUND Early oral language skills are crucial for children's later academic and social development, yet systematic support for oral language development remains limited in Dutch primary education. The Nuffield Early Language Intervention (NELI) has proven effective in improving oral language skills among preschool...

S. van Driel, M. Meeter, F. van der Wilt · 0 citations
#small language model Book Sep 2026

Music Production Communication Overlay (MPCO)

The Music Production Communication Overlay (MPCO) is an evidence-based instructional framework that embeds communication development directly into existing music production coursework by integrating targeted prompts, modeling, and evaluative language into assignments, studio workflows, and feedback cycles. Designed for...

Doug Bielmeier · 0 citations

Uncoded Clinical Features from Multilingual Electronic Health Records in Catalonia: Development and Validation Study (Preprint)

BACKGROUND Unstructured free‑text narratives in electronic health records (EHRs) contain critical clinical information that is not captured by structured standard codes. In Catalonia, primary care notes follow a semi‑structured format known as MEAP (in Catalan). However, extracting structured variables using cloud‑host...

Dan Ouchi, Silvia Riudavets, Álvaro Franquet et al. · 0 citations
#large language models Open access Sep 2026

M3: Conversational LLMs simplify secure clinical data access, understanding, and analysis

Large-scale clinical databases offer opportunities for medical research, but their complexity creates barriers to effective use. The Medical Information Mart for Intensive Care (MIMIC-IV), one of the world’s largest open-source electronic health record databases, traditionally requires both SQL proficiency and clinical...

Rafi Al Attrach, Pedro Moreira, Rajna Fani et al. · 0 citations
#small language model Open access Sep 2026

Multimodal large language models for bladder tumor detection in cystoscopy: a retrospective benchmarking study

Cystoscopic assessment is central to bladder cancer diagnosis, yet visual interpretation remains variable. Existing artificial intelligence approaches often depend on data-intensive models that are often difficult to deploy in routine practice. We evaluated whether multimodal large language models (MLLMs), including sm...

Yonatan Prat, Husny Mahmud, A. Tsur et al. · 0 citations
#small language model Preprint Sep 2026

Long-Context Demonstration Selection Using State Space Models

This paper focuses on the problem of demonstration selection, which involves selecting a subset of examples for prepending to a query to a language model, and builds on state space models (SSMs), which require only linear inference time given the input.

Zi-Niu Zhang, Zhen-Shuo Zhang, Ruoxuan Xiong et al. · 0 citations
#small language model Review Open access Sep 2026

Adaptive large language model scaffolding supports online programming education through learning analytics and knowledge tracing

Online programming learners need timely support while managing heterogeneous prior knowledge and delayed feedback, and a low-stakes adaptive design combining a knowledge-component map, event-history prediction, teacher-authored recommendations, a constrained large language model tutor, and explainable analytics is eval...

Pavel Bartoš · 0 citations
#small language model Open access Sep 2026

Sub-Two-Bit Ternary Weight Storage with Table-Free Arithmetic Decoding for CPU Inference

Ternary (1.58-bit) language models are stored in practice at two bits per weight, 26% above the information content of a ternary symbol. The code that removes that redundancy is not new: five ternary values as the base-3 digits of one byte at 1.600 bits per weight is llama.cpp's TQ1_0 and Spectra 1.1's TQ1; the depth-o...

Justus Theile · 0 citations
#small language model Open access Sep 2026

github.com/broadinstitute/gatk-sv/ClusterBatch

GATK-SV A structural variation discovery pipeline for Illumina short-read whole-genome sequencing (WGS) data. Table of Contents Requirements Citation Acknowledgements Quickstart Pipeline Overview Cohort mode Single-sample mode gCNV model Generating a reference panel Module Descriptions GatherSampleEvidence - Raw caller...

broadinstitute · 0 citations
#small language model Open access Sep 2026

github.com/broadinstitute/gatk-sv/GatherSampleEvidence

GATK-SV A structural variation discovery pipeline for Illumina short-read whole-genome sequencing (WGS) data. Table of Contents Requirements Citation Acknowledgements Quickstart Pipeline Overview Cohort mode Single-sample mode gCNV model Generating a reference panel Module Descriptions GatherSampleEvidence - Raw caller...

broadinstitute · 0 citations

From tech blogs

See all →
Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.