agent/papers/items/2026-2605-28835-genesisfunc-multi-agent-data-generation-for-accurate-and-generalizable-function-.md

Paper: GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling

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type: paper title: "GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling" authors: Hao-Xiang Xu, Chong Deng, Jiaqing Liu, Wen Wang, Qian Chen, Lujia Bao, Xiangang Li, Zhen-Hua Ling year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.28835 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-04-10 updated_at: 2026-04-10 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• rag
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CL
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 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, multi-agent, rag, tool-use
• arXiv categories: cs.CL, cs.AI
• collection score: 16

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/2605.28835