activity
20232026
most citedHumanity's Last Exam

23 citations · 24 across the 22 of their papers we have counts for

collaborators

26 papers

cs.AI2026

Big-Big-SycoBench: A Benchmark to Detect Sycophancy Through Model Responses to Valid vs. Invalid Arguments

Marthe Ballon, Arne Vanhoyweghen, Seorin Kim +11

Sycophancy in large language models risks amplifying unsupported claims or beliefs across the knowledge ecosystem as these systems increasingly contribute to research synthesis, ev…

math.CO2026

Polynomial families of incident flags and explicit off-diagonal Ramsey graphs

Brecht Verbeken, Brecht F. Verbeken

We construct explicit off-diagonal Ramsey graphs from polynomial families of incident point--hyperplane flags. Universal interpolation translates the exact dimension of ordered cli…

math.RA2026

A proof of the Karpelevič theorem via invariant polygons

Brecht Verbeken, Brecht F. Verbeken, Vincent Ginis

The Karpelevič theorem describes the complex numbers that occur as eigenvalues of stochastic matrices of a fixed order. We give a self-contained proof based on invariant polygons.…

math.GR2026

Powerful multiplicative groups do not force right nilpotence in finite braces

Brecht Verbeken, Brecht F. Verbeken

For every odd prime , we construct a finite left brace of order whose additive group is elementary abelian and whose multiplicative group is a powerful $p…

math.RA2026

Stochastic realisers of non-degenerate full-degree Type II reduced Ito polynomials

Brecht Verbeken, Brecht F. Verbeken, Vincent Ginis

Let , where , , , , and . These are the non-degenerate full-degree Type II reduced Ito polynomials…

math.CO2026

The Eigenvalue Region of a Family of Markov Chains with Randomness Confined to Two States

Brecht Verbeken, Brecht F. Verbeken, Vincent Ginis

We determine the complete eigenvalue region of the following Markov chains on states, for . The states are and . Each transitio…

math.GR2026

Cyclic-by-abelian counterexamples to the second and third Zassenhaus conjectures

Brecht Verbeken, Brecht F. Verbeken

Let with . We construct a finite group , where and , together with an augmentation-preservin…

math.GR2026

The N-Prime Graph Question is equivalent to the Prime Graph Question

Brecht Verbeken, Brecht F. Verbeken

Let be a finite group and let be the group of normalized units of its integral group ring. We prove that every -prime arc of either already o…

math.RA2026

The Type III realisation conjecture of Kirkland and Šmigoc

Brecht Verbeken, Brecht F. Verbeken, Vincent Ginis

Kirkland and Šmigoc constructed a family of stochastic matrices realising the Type III boundary polynomials in the Karpelevič region and conjectured that, conversely, every stochas…

cs.CL2026

Thinking Like a Scientist? A Structural Study of LLM-Generated Research Methods

Francesca Carlon, Brecht Verbeken, Brecht F. Verbeken +2

Large Language Models (LLMs) are increasingly used to guide research methodology, yet their default methodological tendencies under minimal prompting remain unclear. Here, we promp…

math.SP2026

On the Spectral Region of 4-Cycle Stochastic Matrices

Brando Vagenende, Brecht Verbeken, Brecht F. Verbeken +2

We study the spectrum of 4-cycle row-stochastic matrices. For real eigenvalues the spectral region is [-1,1]. For nonreal eigenvalues a+ib we derive necessary conditions in terms o…

math.RA2026

On the Spectral Region of n-Cycle Stochastic Matrices

Brecht Verbeken, Brecht F. Verbeken, Vincent Ginis

For every , we determine the union of the spectra of row-stochastic matrices supported on a directed -cycle with self-loops and strictly positive cycle edges. These matr…

astro-ph.IM2026

Neutrino Fingerprints: Image-Based Encodings of IceCube Events for CNN Direction Reconstruction

Floriano Tori, Brecht Verbeken, Brecht F. Verbeken +1

Reconstructing the direction of incoming neutrinos in the IceCube Neutrino Observatory is an important problem in astrophysics. The public IceCube--Neutrinos in Deep Ice Kaggle com…

math.PR2026

Nonnegativity of the second largest eigenvalue of tridiagonal stochastic matrices

Brando Vagenende, Brecht Verbeken, Brecht F. Verbeken +1

The spectral study of nonnegative and more specifically stochastic matrices is an important topic in matrix theory. In this paper, we prove a conjecture, formulated by Ran and Teng…

cs.LG2026

Scalable Classification of Course Information Sheets Using Large Language Models: A Reusable Institutional Method for Academic Quality Assurance

Brecht F. Verbeken, Brecht Verbeken, Joke Van den Broeck +5

Purpose: Higher education institutions face increasing pressure to audit course designs for generative AI (GenAI) integration. This paper presents an end-to-end method for using la…

cs.CY2026

Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments

Arne Vanhoyweghen, Vincent Holst, Melika Mobini +10

Providing timely and individualised feedback on handwritten student work is highly beneficial for learning but difficult to achieve at scale. This challenge has become more pressin…

cs.AI2026

Early Evidence of Vibe-Proving with Consumer LLMs: A Case Study on Spectral Region Characterization with ChatGPT-5.2 (Thinking)

Brecht Verbeken, Brecht F. Verbeken, Brando Vagenende +3

Large Language Models (LLMs) are increasingly used as scientific copilots, but evidence on their role in research-level mathematics remains limited, especially for workflows access…

cs.LG2026

Probing the Trajectories of Reasoning Traces in Large Language Models

Marthe Ballon, Brecht Verbeken, Brecht F. Verbeken +2

Large language models (LLMs) increasingly solve difficult problems by producing "reasoning traces" before emitting a final response. However, it remains unclear how accuracy and de…

cs.AI2026★ 1 cited

Benchmarks Saturate When The Model Gets Smarter Than The Judge

Marthe Ballon, Andres Algaba, Brecht Verbeken +2

Benchmarks are important tools to track progress in the development of Large Language Models (LLMs), yet inaccuracies in datasets and evaluation methods consistently undermine thei…

cs.LG2025

Estimating problem difficulty without ground truth using Large Language Model comparisons

Marthe Ballon, Andres Algaba, Brecht Verbeken +2

Recent advances in the finetuning of large language models (LLMs) have significantly improved their performance on established benchmarks, emphasizing the need for increasingly dif…

econ.GN2025

Metro 3 in Brussels under uncertainty: scenario-based public transport accessibility analysis

Brecht Verbeken, Brecht F. Verbeken, Arne Vanhoyweghen +1

Metro Line 3 in Brussels is one of Europe's most debated infrastructure projects, marked by escalating costs, delays, and uncertainty over completion. Yet no public accessibility a…

cs.CL2025

Lexical Hints of Accuracy in LLM Reasoning Chains

Arne Vanhoyweghen, Brecht Verbeken, Brecht F. Verbeken +2

Fine-tuning Large Language Models (LLMs) with reinforcement learning to produce an explicit Chain-of-Thought (CoT) before answering produces models that consistently raise overall…

cs.DL2025

How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?

Andres Algaba, Vincent Holst, Floriano Tori +5

The spread of scientific knowledge depends on how researchers discover and cite previous work. The adoption of large language models (LLMs) in the scientific research process intro…

math.SP2025

Eigenvalue regions and realising monotone stochastic matrices

Brando Vagenende, Brecht Verbeken, Brecht F. Verbeken +1

Eigenvalues of stochastic matrices have been studied from two complementary perspectives. The individual eigenvalues are characterised through the well-established Karpelevich regi…