agent/papers/items/2026-2603-05553-eigendata-a-self-evolving-multi-agent-platform-for-function-calling-data-synthes.md

Paper: EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair

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type: paper title: "EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair" authors: Jiaao Chen, Jingyuan Qi, Mingye Gao, Wei-Chen Wang, Hanrui Wang, Di Jin year: 2026 venue: arXiv url: https://arxiv.org/abs/2603.05553 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-03-05 updated_at: 2026-03-05 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.SE
• cs.AI
• cs.CL 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, coding-agent, multi-agent, tool-use
• arXiv categories: cs.SE, cs.AI, cs.CL
• 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/2603.05553