LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning
Summary: LLM-agent framework for privacy-preserving, automatic data processing in fine-tuning: iteratively synthesizes/refines DP pipelines from prompts/feedback, avoiding raw-data inspection. Key accelerators: distribution-preserving sampling, low-quality target selection, cache-and-reuse; 10x faster search. (summarized by gpt-5.4-mini on Apr 12 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Wei Huang (Ant Financial)
- 2. Anda Cheng (Ant Financial)
- 3. Yinggui Wang (Ant Financial)
- 4. Lei Wang (Ant Financial)
- 5. Tao Wei (Ant Financial)
BibTeX Citation
@article{huang_vldb26,
title = {{LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning}},
author = {Huang, Wei and Cheng, Anda and Wang, Yinggui and Wang, Lei and Wei, Tao},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {5},
pages = {794--807},
doi = {10.14778/3796195.3796196},
url = {https://doi.org/10.14778/3796195.3796196},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,291 | DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data | 2023 | SIGMOD | 6.2801343e-05 |
| 6,064 | Data-Juicer: A One-Stop Data Processing System for Large Language Models | 2024 | SIGMOD | 5.9895838e-05 |
| 6,074 | Automatic Data Acquisition for Deep Learning | 2021 | VLDB | 5.9860133e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,050 | Revisiting Prompt Engineering via Declarative Crowdsourcing | 2024 | CIDR |
| 2 | 9,310 | LLM-PBE: Assessing Data Privacy in Large Language Models | 2024 | VLDB |
| 3 | 6,064 | Data-Juicer: A One-Stop Data Processing System for Large Language Models | 2024 | SIGMOD |
| 4 | 1,343 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB |
| 5 | 10,882 | CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines | 2025 | VLDB |
| 6 | 10,931 | AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework | 2025 | VLDB |
| 7 | 8,829 | Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees | 2026 | SIGMOD |
| 8 | 13,303 | Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines | 2025 | SIGMOD |
| 9 | 9,293 | Intelligent Agents for Data Exploration | 2024 | VLDB |
| 10 | 6,101 | LLM for Data Management | 2024 | VLDB |