large language models

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

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

Large-scale artificial intelligence (AI) systems increasingly operate not as a single monolithic model but as a population of interacting, specialized agents separate models or decision-making components responsible for functions such as pricing, fraud detection, ranking, routing, and customer support that share underl...

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

Cross-Domain Fake News Classification via RoBERTa Fine-Tuning on Hybrid LIAR-FakeNewsNet Corpus with Deployable Web Inference

The rapid spread of misinformation on social media platforms escalates a serious threat to world socio-political stability, health and financial security. While current automated fake news detection models boast impressive accuracy scores, these are often due to memorisation of the training domain rather than genuine g...

Dataset and experimental materials for evaluating LLM reliability in transport planning

This dataset contains the experimental materials for a study on whether publicly accessible conversational large language models (ChatGPT, Claude, Gemini and Microsoft Copilot) can generate road freight driver schedules that comply with EU driving-time and rest-period rules (Regulation (EC) No 561/2006 and Regulation (...