agent/papers/items/2026-2601-14652-mas-orchestra-understanding-and-improving-multi-agent-reasoning-through-holistic.md

Paper: MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks

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type: paper title: "MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks" authors: Zixuan Ke, Yifei Ming, Austin Xu, Ryan Chin, Xuan-Phi Nguyen, Prathyusha Jwalapuram, Jiayu Wang, Semih Yavuz, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2601.14652 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-01-21 updated_at: 2026-05-21 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.AI
• cs.CL
• cs.MA related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 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, multi-agent, reasoning
• arXiv categories: cs.AI, cs.CL, cs.MA
• collection score: 15

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/2601.14652