Author

Guillaume Allègre

h-index 0 View on Semantic Scholar

We have 1 of 1 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Jul 2026

Messier: A High-Resolution Corpus for Cross-Benchmark Agent Evaluation

MESSIER, a unified corpus of 957,611 records spanning 30 benchmarks, 745 agents, 11,891 tasks, and 74,263 verifiers, is introduced, a reusable resource for studying agent performance at scale, and a basis for designing better evaluations.

Stefan Krsteski, Charlotte Meyer, Guillaume Allègre et al. · arXiv.org · 0 citations