agent/papers/items/2025-2510-24645-funreason-mt-technical-report-advanced-data-synthesis-solution-for-real-world-mu.md

Paper: FunReason-MT Technical Report: Advanced Data Synthesis Solution for Real-world Multi-Turn Tool-use

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type: paper title: "FunReason-MT Technical Report: Advanced Data Synthesis Solution for Real-world Multi-Turn Tool-use" authors: Zengzhuang Xu, Bingguang Hao, Zechuan Wang, Yuntao Wen, Xinyi Xu, Yang Liu, Long Chen, Dong Wang, et al. year: 2025 venue: arXiv url: https://arxiv.org/abs/2510.24645 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-10-28 updated_at: 2025-11-16 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• multi-agent
• tool-use 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, multi-agent, tool-use
• 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/2510.24645