ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models

Summary: ArcheType uses LLMs for fully zero-shot column type annotation via context sampling, prompt serialization, and label remapping. It establishes new zero-shot SOTA, ships three domain benchmarks, and when combined with classical CTA beats fine-tuned DoDuo. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: hfb0d4b48d0af730a
Venue: VLDB
Year: 2024
Pagerank: 6.6432811e-05
Overall Rank: 4,335 | 70.95%
DOI: 10.14778/3665844.3665857
PDF: Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

1. Benjamin Feuer (New York University)
2. Yurong Liu (New York University)
3. Chinmay Hegde (New York University)
4. Juliana Freire (New York University)

BibTeX Citation

@article{feuer_vldb24,
        title = {{ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models}},
        author = {Feuer, Benjamin and Liu, Yurong and Hegde, Chinmay and Freire, Juliana},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {9},
        pages = {2279--2292},
        doi = {10.14778/3665844.3665857},
        url = {https://doi.org/10.14778/3665844.3665857},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,047	Magneto: Combining Small and Large Language Models for Schema Matching	2025	VLDB	6.8177935e-05
8,916	mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUs	2025	VLDB	5.2361195e-05
8,917	Optimized Batch Prompting for Cost-effective LLMs	2025	VLDB	5.2361195e-05
9,201	Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding	2025	VLDB	5.1950133e-05
9,263	Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables	2025	SIGMOD	5.1860131e-05
9,838	Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations	2026	SIGMOD	5.1064323e-05
10,409	SemDistill: Bootstrapping a Low-Latency, Low-Cost Semantic Table Annotator from Noisy LLM	2027	SIGMOD	4.9605343e-05
10,692	AutoDDG: Automated Dataset Description Generation using Large Language Models	2026	SIGMOD	4.9605343e-05
10,745	Qualitative Join Discovery in Data Lakes using Examples	2026	SIGMOD	4.9605343e-05
10,964	MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery	2026	VLDB	4.9605343e-05
11,108	Semantic Data Systems: From Data Management to Data Understanding	2026	VLDB	4.9605343e-05
11,257	Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization	2025	SIGMOD	4.9605343e-05
11,365	LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation	2025	VLDB	4.9605343e-05
11,403	CoLA: Model Collaboration for Log-based Anomaly Detection	2025	VLDB	4.9605343e-05
11,482	Large Language Models for Spatial Analysis Queries	2025	VLDB	4.9605343e-05

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
88	WebTables: Exploring the Power of Tables on the Web	2008	VLDB	0.00035500667
95	Potter's Wheel: An Interactive Data Cleaning System	2001	VLDB	0.00034319763
323	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00021022156
366	TURL: Table Understanding through Representation Learning	2021	VLDB	0.00019902067
1,690	Annotating Columns with Pre-trained Language Models	2022	SIGMOD	9.8426663e-05
1,838	CHORUS: Foundation Models for Unified Data Discovery and Exploration	2024	VLDB	9.5195856e-05
1,929	SANTOS: Relationship-based Semantic Table Union Search	2023	SIGMOD	9.3458857e-05
1,985	Sato: Contextual Semantic Type Detection in Tables	2020	VLDB	9.2378767e-05
2,334	GitTables: A Large-Scale Corpus of Relational Tables	2023	SIGMOD	8.6058607e-05
3,166	Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data Integration	2023	SIGMOD	7.5597853e-05
5,090	Data-Driven Domain Discovery for Structured Datasets	2020	VLDB	6.265808e-05

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