agent/papers/items/2026-2603-07980-onemillion-bench-how-far-are-language-agents-from-human-experts.md

Paper: $OneMillion-Bench: How Far are Language Agents from Human Experts?

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type: paper title: "\$OneMillion-Bench: How Far are Language Agents from Human Experts?" authors: Qianyu Yang, Yang Liu, Jiaqi Li, Jun Bai, Hao Chen, Kaiyuan Chen, Tiliang Duan, Jiayun Dong, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2603.07980 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-03-09 updated_at: 2026-03-09 status: queued relevance: high topics:

• agent-evaluation
• planning
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.LG
• cs.AI
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: language-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, planning, reasoning, tool-use
• arXiv categories: cs.LG, cs.AI, cs.CL
• collection score: 18

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2603.07980