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Brecht Verbeken

26 papers hereh-index 6431 citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 26 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • math.RA4
  • cs.AI3
  • math.GR3
  • cs.CL2
  • math.CO2

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedHumanity's Last Exam

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

collaborators
Showing cs.LGShow all

4 papers · 1 filter

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.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.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…

cs.LG2025★ 23 cited

Humanity's Last Exam

Long Phan, Alice Gatti, Ziwen Han +1168

Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…

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