large language models

Component-based approach to assessing the applicability of large language models in decision support systems

The article proposes a component-based approach to assessing the applicability of large language models in decision support systems. The necessity of multidimensional evaluation is substantiated, and an original methodology for component-based assessment is presented, taking into account both the content of the text an...

RP-LLM: A semantically conditioned cross-modal large language model framework for remaining useful life prediction

Can AI interview? Comparing AI-led to Human-led Chat Interviews

Large language model chatbots have been proposed as AI-interviewers for collecting qualitative interview data at scale, potentially bridging social science's longstanding divide between the breadth of surveys and the depth of qualitative interviews. This paper provides the first direct empirical comparison of data qual...

Beyond accuracy in crop classification: calibration, selective prediction, and robustness

Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as an agronomic recommendation. Materials and methods: Ten classifiers were evaluated using five matched st...

Data Quality, Feature Engineering, and Model Reliability in Large-Scale AI Multi-Agentic Systems

A conceptual framework linking data quality assurance, feature engineering, model training and reliability testing, and deployment to an agent population is proposed, closed by a cross-agent monitoring and feedback loop.

Scalable Real-Time Data Pipelines for AI and Machine Learning–Driven Enterprise Systems

The growth of enterprise data volumes across the 2000s and 2010s pushed traditional batch-oriented data processing infrastructures past their practical limits, motivating a sustained shift toward distributed, stream-based architectures capable of supporting real-time analytics and machine learning (ML). This article sy...

Adaptive Dual-Channel Diffusion of Disinformation and Correction with LLM-Calibrated Influence on Networks

Disinformation rarely spreads as a single and isolated process. It competes with corrective information for the same audience, and the outcome depends on both how widely false narratives propagate and when corrective interventions are introduced. Existing diffusion models typically assume fixed transmission probabiliti...

Ferran32/Master-Thesis-Code: v1.0 – Thesis version (MSc thesis, KTH, 2026)

Code, data and analysis outputs accompanying the MSc thesis "An Empirical Comparison of Prompting, Label-Only Fine-Tuning, and Skill Refinement for Software Vulnerability Detection with Large Language Models" (Ferran Solanes Serrat, KTH Royal Institute of Technology, 2026). Code: MIT licence. The MVFSC benchmark in dat...

An AI-interpretable multidimensional intelligence-driven framework for student performance prediction using local LLM-based narrative reasoning

Predicting student performance has become a vital objective in educational data mining, however existing models remain limited by limited feature sets, opaque decision processes, and the absence of real-time, context-aware interpretative intelligence. This study presents a novel hybrid Artificial Intelligence (AI) arch...

Comparing Genetic Algorithms and LLMs for Research-Hypothesis Generation: Mainstream Convergence of LLMs, Wider Hypothesis Exploration by Combinatorial Search, and the Limits of Literature-Distance Novelty Metrics

Large language model (LLM)-based creative AI systems tend to produce plausible rather than novel research ideas. This study compares two ways of generating research hypotheses: a genetic algorithm (GA) that recombines Method, Problem, and Goal elements under a fitness function rewarding distance from the literature and...

Functional Verification Using Large Language Models

The Modern Approaches for Representation of Semantic Information in AI Systems and Large Language Models