Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both?
Summary: Panel debates whether relational data management should rely on general-purpose LLMs, structure-aware tabular foundation models, or hybrids. It contrasts their trade-offs in Text-to-SQL, schema understanding, and entity resolution across accuracy, scalability, robustness, cost, and usability. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Paolo Papotti (EURECOM)
- 2. Carsten Binnig (Technical University of Darmstadt)
BibTeX Citation
@article{papotti_vldb25,
title = {{Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both?}},
author = {Papotti, Paolo and Binnig, Carsten},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5523--5525},
doi = {10.14778/3750601.3760519},
url = {https://doi.org/10.14778/3750601.3760519},
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 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 397 | TURL: Table Understanding through Representation Learning | 2021 | VLDB | 0.00019278189 |
| 2,192 | Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning | 2023 | VLDB | 8.9767241e-05 |
| 2,602 | NL2SQL is a solved problem... Not! | 2024 | CIDR | 8.3535452e-05 |
| 3,354 | MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations | 2022 | VLDB | 7.4918609e-05 |
| 4,836 | Transformers for Tabular Data Representation: A Tutorial on Models and Applications | 2022 | VLDB | 6.4848269e-05 |
| 5,816 | Observatory: Characterizing Embeddings of Relational Tables | 2024 | VLDB | 6.0776454e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,101 | LLM for Data Management | 2024 | VLDB |
| 2 | 8,373 | Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? | 2021 | SIGMOD |
| 3 | 6,870 | Natural Language Interfaces for Databases with Deep Learning | 2023 | VLDB |
| 4 | 2,175 | From Natural Language Processing to Neural Databases | 2021 | VLDB |
| 5 | 2,602 | NL2SQL is a solved problem... Not! | 2024 | CIDR |
| 6 | 5,220 | Databases Unbound: Querying All of the World’s Bytes with AI | 2024 | VLDB |
| 7 | 3,536 | How Large Language Models Will Disrupt Data Management | 2023 | VLDB |
| 8 | 4,836 | Transformers for Tabular Data Representation: A Tutorial on Models and Applications | 2022 | VLDB |
| 9 | 13,400 | Will LLMs reshape, supercharge, or kill data science? (VLDB 2023 Panel) | 2023 | VLDB |
| 10 | 9,799 | Opportunities for Data Management Research in the Era of Horizontal AI/ML | 2019 | VLDB |