3 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
Auditing Alignment Controllability in LLMs via Political Axes
Bartol Bućan, Nikola Sočec, 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…
Large Language Models as Optimizers: A Survey of Direct vs. Tool-Augmented Approaches and Their Performance Frontiers
Roko Peran, Luka Hobor, Mihael Kovac +1
Large Language Models (LLMs) are increasingly involved in complex mathematical optimization, even if the pragmatic user who triggers them is unaware of it. After all, many real-wor…
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…