arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral
Agent Evaluation Reliability: More Tasks Won't (Always) Fix An Agent Leaderboard
Publisher summary· verbatim
arXiv:2610.00651v1 Announce Type: cross Abstract: Agent evaluations are increasingly used to compare LLMs and inform deployment decisions, yet ranks can reflect not only the model but also the effects of the evaluation conditions such as the scaffolds or tasks. This makes reliability claim-dependent
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSequential Capacity of Quantum Processes with Finite Memory1darxivGraph Representation via Elements of Discrete Morse and Cobordism Theories1darxivAF-Muon: An AdamW-Free Muon Optimizer for Tied-Embedding Models1darxivDo Your Own Research: Learning to Forecast by Learning to Search1dThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗