Research

An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems

Single source1 source9 Oct 2026

arXiv:2508.08833v4 Announce Type: replace-cross Abstract: Frontier large language models (LLMs) now reach near-ceiling accuracy on standard mathematical-reasoning benchmarks and gold-medal-level performance at the International Mathematical Olympiad.

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2508.08833

← Back to all developments · Signals are a development reported by more than one source. See the methodology.

Research

An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems

Single source1 source9 Oct 2026

Reported by 1 source

arxiv.orghttps://arxiv.org/abs/2508.08833

← Back to all developments · Signals are a development reported by more than one source. See the methodology.