6 papers
Auditing Alignment Controllability in LLMs via Political Axes
Bartol BuÄan, Nikola SoÄec, Sarah Isufi +5
Political audits of large language models (LLMs) usually reduce each to one point on a political compass. But that resting point barely matters in deployment: a model must land som…
AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study
Ema Smolic, Mario Brcic, Luka Hobor +1
Many software systems originate as prototypes or minimum viable products (MVPs), developed with an emphasis on delivery speed and responsiveness to changing requirements rather tha…
Bayesian Elicitation with LLMs: Model Size Helps, Extra "Reasoning" Doesn't Always
Luka Hobor, Mario Brcic, Mihael Kovac +1
Large language models (LLMs) have been proposed as alternatives to human experts for estimating unknown quantities with associated uncertainty, a process known as Bayesian elicitat…
Comparative Analysis of Modern Machine Learning Models for Retail Sales Forecasting
Luka Hobor, Mario Brcic, Lidija Polutnik +1
Accurate demand forecasting is critical for brick-and-mortar retailers to optimize inventory management and minimize costs. This study evaluates statistical baselines, tree-based e…
The Memory Wars: AI Memory, Network Effects, and the Geopolitics of Cognitive Sovereignty
Mario Brcic
The advent of continuously learning Artificial Intelligence (AI) assistants marks a paradigm shift from episodic interactions to persistent, memory-driven relationships. This paper…
Bidirectionalization For The Common People
Juraj DonÄeviÄ, Mario BrÄiÄ, Danijel MlinariÄ
This paper presents an innovative approach to applying bidirectional transformations (BX) in practice. To introduce BX to a wider audience of technologists, engineers, and research…