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small language model

3,416 papers

#small language model Open access Oct 2026

yologdev/yoagent: v0.25.0

Added Extensions (yoagent::extension, #241): one plug-in contract for the agent lifecycle. An Extension is installed with Agent::with_extension / SubAgentTool::with_extension (an Arc is one too), and each run gets fresh RunHooks from start_run, so state for one run is isolated. The hooks: tools (once per run); on_input...

Yuanhao Li, Oscar, Andy Gayton et al. · 0 citations
#small language model Dataset Open access Oct 2026

Carl Friedrich Gauss: Werke and Individual Papers — Faithful Readers, Transcriptions, Translations and AI Commentary

This collection makes works of Carl Friedrich Gauss available as original-language faithful transcriptions, faithful English translations, editable source materials, historical source images and separate AI editorial commentary. Its retained materials cover Bands I, II, III, IV, V, VI, VII, VIII, IX and XI Part I, indi...

Carl Friedrich Gauß · 0 citations
#small language model Open access Oct 2026

Vision Without Surveillance

A scalable, privacy-preserving vision-language model (VLM) pipeline is developed that leverages zero-shot CLIP to extract 150+ interpretable urban design features from street-level imagery and enables scalable, evidence-based urban planning across cities.

Malikka Rajshahi, M. Alfonzo, Corey Ashby et al. · 0 citations
#edge computing Open access Oct 2026

Two Innovations go live: 1. KENOS: Chat-native interface 2. KAIPAL Series: Audience-centered; locally deployable AI models

KAIPAL and KENOS: Democratizing Artificial Intelligence Through Privacy-First Local Models and a Unified Chat-Native Operating Interface Kohenoor Labs | Kohenoor Technologies Description This publication presents the technological vision, architectural philosophy, and applied development direction of Kohenoor Labs thro...

Ahmad Bilal Khan · 0 citations
#small language model Open access Oct 2026

Australian-Text-Analytics-Platform/ldaca-wordflow: Wordflow 0.7.11

Wordflow 0.7.11 lets you set the order of a category column's values and use it everywhere, including as a Trends axis; converts dates, numbers and text more reliably, checking the whole column first; adds several sheets of a spreadsheet at once; adds an Elapsed time type for transcript timestamps; shows a quick overvi...

Alex Guo, Chao Sun · 0 citations
#small language model Open access Oct 2026

Examining E-Learning Quality Dimensions and Their Influence on Learner Satisfaction: An Empirical Study Using PLS-SEM

Purpose: This study seeks to analyze the influence of service, information, and system quality on e-learning quality, and subsequently assess the effect of e-learning quality on learner satisfaction in Punjab, India. Design/Methodology/Approach: The data was gathered from a sample of 506 e-learners using purposive and...

ABHISHEK SAINI, Hazoor Singh · 0 citations
#small language model Open access Oct 2026

One Door, Three Modes: Designing a Multi-Channel Appointment Booking System Driven by Conversational Agents

Small service businesses such as clinics receive booking requests through WhatsApp, Instagram and Messenger messages, phone calls and web forms, and many have no calendar system at all. We describe the design of ABS, an appointment booking system in which conversational agents take bookings across these channels for ma...

Vivek Sinha · 0 citations
#small language model Open access Oct 2026

A Contamination Flag Is Not an Inflation Estimate: What Benchmark Contamination Detectors Certify, What Decontamination Is Meant to Buy, and Why the Clean-Subset Comparison That Joins Them Is Biased From Both Sides

(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Almost every large language model report now includes a contamination analysis: benchmark items that overlap the training corpus are flagged, the model is rescored on the unflagged remainder, and a small gap is read as evidence that the headline numbers stand. Two...

Pranay M. Mahendrakar · 0 citations
#small language model Open access Oct 2026

Early Classification of Information Cascades with Class-Conditional Small Language Models

Early detection classifies an information cascade from its first nodes, but the labeled cascades available for training are complete. On four datasets, discriminative models trained on complete cascades are a median of 18 AUC points below their prefix-trained versions at five nodes. We write the structure and timing of...

Michał Podstawski, Mariusz Кamola · 0 citations
#small language model Open access Oct 2026

Side channels in LLM secret defense: a pre-registered replication of the Paradox of Active Defense across five target models

Large language models deployed with a secret in their system prompt defend it only by following an instruction. A pilot study (88 tracked adversarial assessments against ten models and seven prompt designs, March to April 2026) found that the defense leaves traces while it holds: the model recites the secret in its rea...

Jaron Hardage · 0 citations

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