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Agents2026-08-20 · source-backed
This is a 46-page benchmark evaluating LLMs on assisting a weaker worker model rather than doing the task solo, across seven real-world tasks with blind pairwise judging over ten runs. Rankings between the two regimes are only modestly correlated. On three tasks, the unaided worker beat every assisted condition, and only one model's guidance beat no guidance on average. (arXiv 2608.18554) If you pick your orchestrator model by solo leaderboard score, this says you're optimizing the wrong axis. Being smart and being a good instructor are not the same skill in humans either.
Each link below shares sources, entities, or timing with this story.
Shared entity: LLMs / Same source domain / Shared topic / Earlier coverage
Both cover LLMs; reported by the same outlet (arxiv.org); overlapping topics (average, benchmark, model, task).
Shared entity: LLMs / Same source domain / Shared topic / Earlier coverage / Tension
Both cover LLMs; reported by the same outlet (arxiv.org); overlapping topics (benchmark, model).
Shared entity: LLMs / Same source domain / Shared topic / Earlier coverage
Both cover LLMs; reported by the same outlet (arxiv.org); overlapping topics (benchmark, model).
Both cover LLMs; reported by the same outlet (arxiv.org); overlapping topics (average, model).
Both cover LLMs; reported by the same outlet (arxiv.org); overlapping topics (benchmark, between).
Both cover LLMs; reported by the same outlet (arxiv.org); overlapping topics (benchmark, task).
Both cover LLMs; reported by the same outlet (arxiv.org); overlapping topics (benchmark, model).
Shared entity: LLMs / Same source domain / Earlier coverage / Tension
Both cover LLMs; reported by the same outlet (arxiv.org); earlier LLMs coverage from 2026-08-17.