Sentence to Model: Cost-Effective Data Collection LLM Agent
Summary: Four-stage, cost-aware data-collection pipeline—Explorer, Prioritizer, Extractor, Modeling—that outputs a dataset and a trained model from web, knowledge graphs, and internal networks. Budget-driven prioritization and LLM-based enrichment balance sources, rate limits, and latency, enabling rapid, end-to-end data-to-model delivery in a human–machine loop. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yael Einy (Tel Aviv University)
- 2. Guy Dar (Tel Aviv University)
- 3. Slava Novgorodov (Tel Aviv University)
- 4. Tova Milo (Tel Aviv University)
BibTeX Citation
@inproceedings{einy_sigmod25,
title = {{Sentence to Model: Cost-Effective Data Collection LLM Agent}},
author = {Einy, Yael and Dar, Guy and Novgorodov, Slava and Milo, Tova},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725134},
url = {https://dl.acm.org/doi/10.1145/3722212.3725134},
year = {2025}
}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 |
|---|---|---|---|---|
| 713 | Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes | 2024 | VLDB | 0.00014672521 |
| 1,550 | Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes | 2023 | CIDR | 0.00010385904 |
| 11,104 | Datamap-Driven Tabular Coreset Selection for Classifier Training | 2025 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,343 | DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing | 2025 | VLDB |
| 2 | 11,186 | Unstructured Data Fusion for Schema and Data Extraction | 2024 | SIGMOD |
| 3 | 10,733 | ScaleLLM: A Technique for Scalable LLM-augmented Data Systems | 2025 | SIGMOD |
| 4 | 8,829 | Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees | 2026 | SIGMOD |
| 5 | 10,856 | Optimized Batch Prompting for Cost-effective LLMs | 2025 | VLDB |
| 6 | 4,050 | Revisiting Prompt Engineering via Declarative Crowdsourcing | 2024 | CIDR |
| 7 | 713 | Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes | 2024 | VLDB |
| 8 | 10,614 | LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning | 2026 | VLDB |
| 9 | 6,101 | LLM for Data Management | 2024 | VLDB |
| 10 | 9,293 | Intelligent Agents for Data Exploration | 2024 | VLDB |