3 citations · 3 across the 1 of their papers we have counts for
6 papers
BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
Ivo Petrov, Jasper Dekoninck, Martin Vechev
Large language models (LLMs) have recently shown strong performance on mathematical benchmarks. At the same time, they are prone to hallucination and sycophancy, often providing co…
The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs
Jasper Dekoninck, Ivo Petrov, Kristian Minchev +13
In recent months, large language models (LLMs) have made significant progress in mathematical proof generation, but further advancement is hindered by the lack of a large-scale, hi…
MathArena: Evaluating LLMs on Uncontaminated Math Competitions
Mislav Balunović, Jasper Dekoninck, Ivo Petrov +2
The rapid advancement of reasoning capabilities in large language models (LLMs) has led to notable improvements on mathematical benchmarks. However, many of the most commonly used…
GRAIN: Exact Graph Reconstruction from Gradients
Maria Drencheva, Ivo Petrov, Maximilian Baader +2
Federated learning claims to enable collaborative model training among multiple clients with data privacy by transmitting gradient updates instead of the actual client data. Howeve…
Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad
Ivo Petrov, Jasper Dekoninck, Lyuben Baltadzhiev +5
Recent math benchmarks for large language models (LLMs) such as MathArena indicate that state-of-the-art reasoning models achieve impressive performance on mathematical competition…
MathConstruct: Challenging LLM Reasoning with Constructive Proofs
Mislav Balunović, Jasper Dekoninck, Nikola Jovanović +2
While Large Language Models (LLMs) demonstrate impressive performance in mathematics, existing math benchmarks come with significant limitations. Many focus on problems with fixed…