agent/papers/items/2026-2607-03601-archeval-measuring-ai-agents-as-computer-architects.md

Paper: ArchEval: Measuring AI Agents as Computer Architects

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type: paper title: "ArchEval: Measuring AI Agents as Computer Architects" authors: Chenyu Wang, Zishen Wan, Jeffrey Ma, Shvetank Prakash, Zhenting Qi, Haebin Do, Andy Cheng, Arya Tschand, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.03601 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-03 updated_at: 2026-07-03 status: queued relevance: high topics:

• agent-evaluation
• memory
• reasoning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.AR related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 21 collection_queries: ai-agent, llm-agent, tool-use

One-line Takeaway

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

Why Collected

• matched queries: ai-agent, llm-agent, tool-use
• inferred topics: agent-evaluation, memory, reasoning, tool-use, workflow-agent
• arXiv categories: cs.AR
• collection score: 21

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/2607.03601