# Paper: Exploring Autonomous Agentic Data Engineering for Model Specialization

---
type: paper
title: Exploring Autonomous Agentic Data Engineering for Model Specialization
authors: Yujie Luo, Xiangyuan Ru, Jingsheng Zheng, Jingjing Wang, Yuqi Zhu, Jintian Zhang, Runnan Fang, Kewei Xu, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2605.30407
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-05-28
updated_at: 2026-06-08
status: queued
relevance: high
topics:
  - agent-evaluation
  - computer-use
  - planning
  - workflow-agent
methods:
  -
benchmarks:
  -
models:
  -
datasets:
  - cs.CL
  - cs.AI
  - cs.IR
  - cs.LG
related_concepts:
  -
related_jobs:
  -
related_experiments:
  -
related_projects:
  -
collection_score: 14
collection_queries: autonomous-agent-llm
---

## One-line Takeaway

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

## Why Collected

- matched queries: autonomous-agent-llm
- inferred topics: agent-evaluation, computer-use, planning, workflow-agent
- arXiv categories: cs.CL, cs.AI, cs.IR, cs.LG
- collection score: 14

## 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/2605.30407