agent/papers/items/2025-2507-20395-mazeeval-a-benchmark-for-testing-sequential-decision-making-in-language-models.md

Paper: MazeEval: A Benchmark for Testing Sequential Decision-Making in Language Models

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type: paper title: "MazeEval: A Benchmark for Testing Sequential Decision-Making in Language Models" authors: Hafsteinn Einarsson year: 2025 venue: arXiv url: https://arxiv.org/abs/2507.20395 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-07-27 updated_at: 2025-07-27 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• embodied-agent
• reasoning methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: function-calling

One-line Takeaway

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

Why Collected

• matched queries: function-calling
• inferred topics: agent-evaluation, computer-use, embodied-agent, reasoning
• arXiv categories: cs.AI
• collection score: 13

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/2507.20395