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Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding
Summary: Unified, cost-aware framework for LLM-based table understanding that compresses tabular inputs to cut input token cost while boosting accuracy. Demonstrated across multiple tasks (e.g., column-type annotation), outperforms LLM baselines at equal or lower cost.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14069
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,759 | 25.23%
- DOI
-
10.14778/3749646.3749714
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 108 |
WebTables: Exploring the Power of Tables on the Web |
2008 |
VLDB |
0.00048345996 |
| 365 |
Annotating and Searching Web Tables Using Entities, Types and Relationships |
2010 |
VLDB |
0.00025616694 |
| 420 |
InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables |
2012 |
SIGMOD |
0.00023700634 |
| 514 |
TURL: Table Understanding through Representation Learning |
2021 |
VLDB |
0.00021280726 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 1,866 |
ReAcTable: Enhancing ReAct for Table Question Answering |
2024 |
VLDB |
0.00010265592 |
| 2,513 |
Annotating Columns with Pre-trained Language Models |
2022 |
SIGMOD |
8.6155767e-05 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4909917e-05 |
| 2,842 |
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning |
2023 |
VLDB |
8.0366354e-05 |
| 2,895 |
Sato: Contextual Semantic Type Detection in Tables |
2020 |
VLDB |
7.9539265e-05 |
| 3,003 |
Chorus: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
7.7358219e-05 |
| 3,520 |
GitTables: A Large-Scale Corpus of Relational Tables |
2023 |
SIGMOD |
7.0136102e-05 |
| 4,860 |
Integrating Data Lake Tables |
2023 |
VLDB |
5.867964e-05 |
| 5,098 |
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models |
2024 |
VLDB |
5.6943033e-05 |
| 6,071 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
5.2231739e-05 |
| 7,045 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
4.8474104e-05 |
| 7,915 |
Efficient Approximate Algorithms for Empirical Entropy and Mutual Information |
2021 |
SIGMOD |
4.6135329e-05 |
| 8,852 |
Watchog: A Light-weight Contrastive Learning based Framework for Column Annotation |
2023 |
SIGMOD |
4.4313992e-05 |
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