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small language model

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#small language model Open access Sep 2026

github.com/broadinstitute/gatk-sv/MergeBatchSites

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
#large language models Open access Sep 2026

THE SANNER MODEL — APPLIED TO A FOUR-BODY SYSTEM

This paper applies The Sanner Model to a four-body system — the Galactic Center, the Sun, the Moon, and the Earth. Each mass acts as a sink for the aether, producing its own radial, inward aether acceleration field. The paper distinguishes sharply between two properties of the combined field: aether acceleration, which...

Gunnar Sanner · 0 citations
#small language model Open access Sep 2026

The AI "Slowdown" Deception: The Hidden Agenda to Hijack the World's Economic System — How AI Companies Prepare Their Excuse, Shift Liability, and Form a Cartel

N-K SCIENCES INTERNATIONAL PUBLICATION ZENODO SUBMISSION — DOI: 10.5281/zenodo.22820855 --- COMPLETE METADATA & DESCRIPTION Basic Information Field ValueTitle The AI "Slowdown" Deception: The Hidden Agenda to Hijack the World's Economic System — How AI Companies Prepare Their Excuse, Shift Liability, and Form a CartelA...

Muhammad Usman Malik · 0 citations
#small language model Open access Sep 2026

The AI "Slowdown" Deception: The Hidden Agenda to Hijack the World's Economic System — How AI Companies Prepare Their Excuse, Shift Liability, and Form a Cartel

N-K SCIENCES INTERNATIONAL PUBLICATION ZENODO SUBMISSION — DOI: 10.5281/zenodo.22820855 --- COMPLETE METADATA & DESCRIPTION Basic Information Field ValueTitle The AI "Slowdown" Deception: The Hidden Agenda to Hijack the World's Economic System — How AI Companies Prepare Their Excuse, Shift Liability, and Form a CartelA...

Muhammad Usman Malik · 0 citations
#small language model Open access Sep 2026

Psychological factors contribute more to chronic low back pain than spine pathology: An LLM-based analysis of radiology reports

Background Context Chronic low back pain (cLBP) is the leading global cause of disability, yet the anatomical, psychological, and socioeconomic determinants of cLBP are typically studied in isolation, with limited large-scale integration of imaging data. Purpose To determine the relative contributions of anatomical, de...

M. Perrone, H. Tachi, H. Albadi et al. · 0 citations
#machine learning Preprint Sep 2026

ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers

ALIBI is presented, a semantic cover story attack against frontier LLM-based malware analyzers that adds a small, non-executed read-only section to a compiled binary, containing a coherent but false security product narrative, without altering imports or executable behavior.

H. Choi, Wonyoung Jung, Haehoon Seo et al. · 0 citations
#machine learning Preprint Sep 2026

Score Centering Stabilizes Off-policy Reinforcement Learning

It is shown that the instability of RL under TIM is primarily caused by drift: a persistent bias between training and inference engines that accumulates with every training step, and an additive score centering term is derived that stabilizes RL under TIM by canceling drift.

Martina Marek, Max Ryabinin · 3 citations · ⚡1
#machine learning Preprint Sep 2026

Parallelism, critical windows, and separations among diffusion language models

A popular selling point of diffusion large language models (dLLMs) is their capacity for parallelism: the ability to generate sequences of text far more efficiently than autoregressive models, which require one forward pass per token. Yet among the many competing paradigms for dLLMs, from masked to uniform to Gaussian...

Si-Tan Chen, Li-Ye Wang · 0 citations
#machine learning Preprint Sep 2026

Sample Count Is Not Enough: Candidate-Generation Strategy Shapes the Energy and Performance of LLM Test-Time Scaling

The results show that candidate count alone is not enough to describe the systems cost of multi-candidate test-time scaling and Evaluations should report not only candidate count and accuracy, but also generation schedule and GPU-level systems metrics.

Mobina Kashaniyan, Ali Jannesari · 0 citations
#artificial intelligence Preprint Sep 2026

Local Sparsity Enables Unsupervised LLM Safety Detection

This work proposes a framework for locally masked SAE-based anomaly detection, supported by theoretical justifications, and demonstrates their ability to capture meaningful safety information while using only 1-2% of SAE neurons for computation.

Xin Chen, Gil Kur, A. Shevchenko et al. · 0 citations
#artificial intelligence Preprint Sep 2026

SoK: Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes

FARSIGHT (Financial Agent Robustness and Security Investigation and Global Holistic Testing), a framework that performs scheme-level evaluation of financial LLM agents on two axes: robustness under market turbulence and security against three attack types: attacks on information sources, attacks on agents, and agent-as...

Meng-Xiao Wang, Nitesh Saxena · 0 citations

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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.

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