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small language model

3,573 papers

#small language model Preprint Sep 2026

VLM-in-Sandbox: Visual Workspaces for Agentic Visual Reasoning

Across seven benchmarks and four base VLMs, VLM-in-Sandbox achieves the highest sample-weighted average accuracy among Vanilla VLM, Append-only Sandbox, and the proposed method, and is identified as a central abstraction for sandboxed VLM agents.

He-Xiong Yang, Ming-Rui Chen, Jie Cao et al. · 0 citations
#small language model Preprint Sep 2026

A paired synthetic construction-site image dataset for robust computer vision under adverse conditions

ConSynth-X, a paired synthetic construction-site image dataset containing 34,199 images derived from 3,109 real-world source scenes, is presented, providing a structured resource for evaluating and improving the robustness of construction vision and vision-language models under challenging field conditions.

Viet Huy Duong, Ruoxin Xiong, Md Abdullah Al Forhad et al. · 0 citations
#small language model Preprint Sep 2026

Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation Enforcement

This work proposes Targeted Anti-obfuscation with Mechanistic Enforcement (TAME), which uses Sparse Autoencoders (SAEs) to combine behavioral feedback with targeted suppression of template-associated activations during RL, providing a path from behavioral monitoring to representation-level oversight for more auditable...

Xu-Tao Mao, Jianing Zhu, Jin-Man Zhao et al. · 0 citations
#robotics Preprint Sep 2026

RoboTalk: Learning Multi-Robot Communication and Coordination from Multimodal Demonstrations

RoboTalk is introduced, a synthetic data-generation pipeline and dataset of 7,950 multimodal trajectories spanning 53 mobile-manipulation kitchen tasks for training small VLMs to communicate and coordinate and fine-tuning open-source models on this dataset can reach 77% success on novel held-out tasks.

Dorian Benhamou Goldfajn, Mason Nakamura, Saaduddin Mahmud et al. · 0 citations
#small language model Open access Sep 2026

Slow Drift Temporal Poisoning attacks and vision language model guided defense for BEV perception in autonomous vehicles

Results indicate that temporal memory is an attack surface that BEV security evaluation has not yet accounted for, and that cross-modal semantic verification is a promising, if not yet field-validated, direction for defending it.

S. Hallur, G. Baskaran, Hari Krishna Kattoju et al. · 0 citations
#large language models Review Open access Sep 2026

Computational Approaches to Penicillin Allergy De-labelling: A Clinical Review

Penicillin allergy is recorded in roughly one in ten hospital patients, yet fewer than one in ten of those records reflects a real, clinically significant allergy. The mismatch matters: patients with a penicillin label receive more second-line and broader-spectrum antibiotics, with measurable downstream costs in infect...

S. Elkhalifa, Jack Devey, Abdulrahaman Al-Asali et al. · 0 citations
#small language model Open access Sep 2026

火葬場3,511のうち、動いているのは1,349 ── 福井県は557施設のうち14 [I017]

衛生行政報告例(令和6年度)の第5表から、墓地・火葬場・納骨堂の数を経営主体別に数え、I010 で数えた火葬件数と突き合わせた。 墓地は876,042区域、火葬場は3,511施設、納骨堂は13,853施設。47都道府県の合計は4つとも全国の値とぴたり一致する。墓地は火葬場の250倍、恒常的に使用している火葬場の649倍ある。 火葬場3,511のうち、過去1年以内...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

Ultralytics YOLO

🌟 Summary Ultralytics 8.4.158 improves YOLO26 training reliability, model export compatibility, data handling, inference backends, and Ultralytics Platform workflows. 🚀 📊 Key Changes 🔄 Mosaic augmentation now stays closed after OOM recovery Fixed a training issue where automatic batch-size reduction rebuilt the dat...

Glenn Jocher, Jing Qiu, Ayush Chaurasia · 0 citations
#small language model Open access Sep 2026

賃金は1.20倍、物価は1.08倍、所得は1.85倍、地価は87.4倍 ── 地域差は、費目によって桁が違う [X002]

小規模事業者が置かれている条件を、最低賃金(令和8年度答申)・消費者物価地域差指数(2024年)・1人あたり課税対象所得(令和7年度)・商業地の地価(令和8年 地価公示)の4つで、47都道府県について並べた。 地域差の大きさが、費目によって桁で違う。上と下の比は、消費者物価 1.081倍、最低賃金(現行)1.198倍、1人あたり課税対象所得 1.85倍、商業...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

FIT-SLM-HC: A Task–Technology Fit Framework for Identifying Tasks Suited to Small Language Models in Healthcare

Background: Small Language Models (SLMs) running on local hardware can reduce the privacy, latency, and cost concerns associated with cloud-based Large Language Models (LLMs) in healthcare, but deciding when to use them is typically informal and unsystematic in current practice. The problem is compounded by model turno...

Hants Williams · 0 citations

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