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small language model

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#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, Ruo-Xuan 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
#small language model Open access Sep 2026

github.com/broadinstitute/gatk-sv/GenotypeComplexVariants

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

APPLYING THE SECM–SEFSC AUGMENTED ACM MODEL III TO THE SEPTEMBER 16, 2026 FOMC DECISION: An Ex Ante Scenario Forecast, Consensus-Hike Test, and Post-Event Validation Protocol

This pre-decision research note applies the verified SECM–SEFSC Augmented ACM Model III to the Federal Open Market Committee meeting of September 15–16, 2026. With a 25-basis-point increase in the federal funds target range heavily priced into markets, the analysis argues that the dominant market signal is likely to co...

Daniel Scretching · 0 citations
#small language model Open access Sep 2026

The Evolution of Large Language Model Architectures: From the Transformer to Hybrid Models (2017-2026)

Preprint, version 1.0 (September 2026) The Transformer of 2017 still sits at the core of every current large language model, yet almost everything around it has been rebuilt, some parts repeatedly. This survey traces the architectural development of text-only LLMs from 2017 to early 2026 as four epochs, each driven by...

Finn Reimann · 0 citations
#small language model Open access Sep 2026

github.com/broadinstitute/gatk-sv/CleanVcf

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

Selberg–Residue Analysis of the Equally Spaced Richardson–Gaudin Pairing Model

Authorship, provenance, and verification. The scientific problem, original method, and research direction belong to W. V. Pogosov. This project builds on his published and unpublished work developed before the involvement of an advanced large language model (LLM). During the subsequent LLM-assisted phase, the LLM produ...

W. V. Pogosov · 0 citations

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