Browse State-of-the-Art › Table Search
Table Search
10 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (15 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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24 Jan 2022 3 repositories listedSince a vast number of tables can be easily collected from web pages, spreadsheets, PDFs, and various other document types, a flurry of table pre-training frameworks have been proposed following the success of text and…
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12 Apr 2025 1 repository listedPneuma leverages large language models (LLMs) for both table representation and table retrieval.
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28 Jun 2024 1 repository listedIn this paper, we present TabSketchFM, a neural tabular model for data discovery over data lakes.
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29 May 2024 1 repository listedThere has recently been growing interest in conversational agents with long-term memory which has led to the rapid development of language models that use retrieval-augmented generation (RAG).
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2 Sep 2023 1 repository listedWe propose a novel paradigm that, complementing known specialized ones, can produce Learned versions of any Sorted Set Dictionary, for instance, Balanced Binary Search Trees or Binary Search on layouts other that…
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7 Aug 2023 1 repository listedWe thoroughly evaluate recent existing table union search methods over existing benchmarks and our new benchmark.
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27 Mar 2022 1 repository listed Syntology ran 2 of 13 samples · 11 unverifiedIn this paper, we propose StruBERT, a structure-aware BERT model that fuses the textual and structural information of a data table to produce context-aware representations for both textual and tabular content of a data…
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19 Jul 2021 1 repository listedIn modern applications, model space is a key factor and, in fact, a major open question concerning this area is to assess to what extent one can enjoy the speed-up of Binary Search achieved by Learned Indexes while…
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4 May 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedThe task of natural language table retrieval (NLTR) seeks to retrieve semantically relevant tables based on natural language queries.
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19 May 2020 1 repository listedPretrained contextualized language models such as BERT have achieved impressive results on various natural language processing benchmarks.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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