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small language model

3,629 papers

#computer vision Jul 2026

Zero-Shot Heart Rate Variability Forecasting from Consumer Wearables Using Time Series Foundation Models

A variability-preserving imputation method is introduced that augments linear interpolation with locally adaptive stochastic noise, retaining physiological dynamics essential for accurate forecasting in short-term Heart Rate Variability forecasting.

Luukas Peräkylä, F. Sohrab, Ville Hautamäki et al. · 0 citations

Context Before Code: An Experience Report on Vibe Coding in Practice

An experience report from a small full-stack team that applied contextual prompting and explicit architectural constraints to build a multi-project agent learning platform designed for sustained, production-oriented use and an academic retrieval-augmented generation system is presented.

Md Nasir Uddin Shuvo, M. Islam, Mahade Hasan et al. · 1 citation
#computer vision Jul 2026

Epic-Organized vs. Requirement-Aligned Gherkin: An Empirical Evaluation of LLM-Based Acceptance Criteria Generation

Overall, the results suggest that epic-organized generation can improve perceived Gherkin quality while maintaining comparable semantic coverage, although broader replication is needed before generalizing this finding.

Shahbaz Siddeeq, M. Abbasi, Jussi Rasku et al. · 0 citations
#computer vision Open access Mar 2024

LLM-based agents for automating the enhancement of user story quality: An early report

The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.

Zheying Zhang, M. Rayhan, Tomas Herda et al. · 48 citations · ⚡4
#machine learning Open access Jun 2025

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation

Five domain-specific RAG applications developed for real-world scenarios across governance, cybersecurity, agriculture, industrial research, and medical diagnostics are presented, highlighting technical, operational, and ethical challenges affecting the reliability and usability of RAG systems in practice.

M. Hasan, Muhammad Waseem, Kai-Kristian Kemell et al. · 10 citations · ⚡1
#computer vision Open access Jun 2025

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code

Results highlight the ability of LLM-based multi-agent in managing refactoring tasks targeted toward functional programming paradigms and hint that LLM-based multi-agent systems integration into the refactoring of functional programming languages can enhance maintainability and support automated development workflows.

Shahbaz Siddeeq, Muhammad Waseem, Z. Rasheed et al. · 10 citations
#machine learning Open access Feb 2025

Anomaly detection in smart power grids with graph-regularized MS-SVDD: a multimodal subspace learning approach

A generalized Multimodal Subspace Support Vector Data Description model with graph-embedded regularization is proposed, illustrating how relational and structural information can be systematically embedded into one-class models, enabling robust learning under complex, high-dimensional, and multimodal conditions.

Thomas Debelle, F. Sohrab, Pekka Abrahamsson et al. · 1 citation
#artificial intelligence Open access 2026

Bridging Humans and LLMs: Investigating Human-AI Collaboration in Multi-agent Requirements Analysis for Organizational AI Adoption

LLM-based multi-agent systems can support strategic AI planning by enabling iterative refinement with human experts by supporting structured and collaborative Requirements Engineering processes for AI adoption planning.

Malik Abdul Sami, Zheying Zhang, Muhammad Waseem et al. · 6 citations
#large language models Open access 2026

Clean Attacks: Formalizing Semantically Valid Adversarial Behavior in Autonomous AI Agent Systems

A previously unstated class of adversarial input called a clean attack - an input that is syntactically correct, semantically consistent with the declared task context, consistent with all observable policy constraints and still has the goal of misguiding the agent away from the original operator goal - is identified a...

Harsh Verma · 1 citation
#human-computer interacti... Open access 2026

Toward a Unified Security Systems Theory for Autonomous AI Systems

This paper synthesizes the findings of the five-paper AI Agent Security Series into a unified, formal, and falsifiable theory of autonomous agent security, and establishes three meta-theorems: the Component Insufficiency Theorem, the Dynamic Necessity Theorem, and the Interaction Irreducibility Theorem.

Harsh Verma · 1 citation
#artificial intelligence Review Open access 2026

Secure AI Systems Protecting Machine Learning Models from Emerging Cyber Threats

Securing AI systems is not a task any single discipline can accomplish alone; it requires sustained collaboration between machine learning researchers, cybersecurity professionals, and policymakers if AI technologies are to remain reliable, trustworthy, and resilient in adversarial environments.

Harsh Verma · 1 citation

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