{"url":"/task/table-retrieval","name":"Table Retrieval","slug":"table-retrieval","description_markdown":"When given a query, the goal of this task is to retrieve a relevant table from a (potentially large) collection of tables. The query could be a single sentence (such as a question), or it could also be a conversation. 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the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":15,"of":15,"tagged_in_all":27,"items":[{"url":"/paper/ad-hoc-table-retrieval-using-semantic","title":"Ad Hoc Table Retrieval using Semantic Similarity","date":"2018-02-16","arxiv_id":"1802.06159","repositories_listed":2,"syntology":null},{"url":"/paper/pneuma-leveraging-llms-for-tabular-data","title":"Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System","date":"2025-04-12","arxiv_id":"2504.09207","repositories_listed":1,"syntology":null},{"url":"/paper/multi-hop-table-retrieval-for-open-domain","title":"MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL","date":"2024-02-16","arxiv_id":"2402.10666","repositories_listed":1,"syntology":null},{"url":"/paper/simulating-users-in-interactive-web-table","title":"Simulating Users in Interactive Web Table Retrieval","date":"2023-10-18","arxiv_id":"2310.11931","repositories_listed":1,"syntology":null},{"url":"/paper/enhancing-open-domain-table-question","title":"Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval","date":"2023-09-19","arxiv_id":"2309.10506","repositories_listed":1,"syntology":null},{"url":"/paper/the-statcan-dialogue-dataset-retrieving-data","title":"The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine Intents","date":"2023-04-03","arxiv_id":"2304.01412","repositories_listed":1,"syntology":null},{"url":"/paper/ctbl-augmenting-large-language-models-for","title":"cTBLS: Augmenting Large Language Models with Conversational Tables","date":"2023-03-21","arxiv_id":"2303.12024","repositories_listed":1,"syntology":null},{"url":"/paper/table-retrieval-may-not-necessitate-table","title":"Table Retrieval May Not Necessitate Table-specific Model Design","date":"2022-05-19","arxiv_id":"2205.09843","repositories_listed":1,"syntology":{"n":12,"n_ran":7,"n_unverified":5,"n_pointer_only":0}},{"url":"/paper/strubert-structure-aware-bert-for-table","title":"StruBERT: Structure-aware BERT for Table Search and Matching","date":"2022-03-27","arxiv_id":"2203.14278","repositories_listed":1,"syntology":{"n":13,"n_ran":2,"n_unverified":11,"n_pointer_only":0}},{"url":"/paper/cltr-an-end-to-end-transformer-based-system","title":"CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question Answering","date":"2021-06-08","arxiv_id":"2106.04441","repositories_listed":1,"syntology":null},{"url":"/paper/semantic-table-retrieval-using-keyword-and","title":"Semantic Table Retrieval using Keyword and Table Queries","date":"2021-05-13","arxiv_id":"2105.06365","repositories_listed":1,"syntology":null},{"url":"/paper/wtr-a-test-collection-for-web-table-retrieval","title":"WTR: A Test Collection for Web Table Retrieval","date":"2021-05-05","arxiv_id":"2105.02354","repositories_listed":1,"syntology":null},{"url":"/paper/retrieving-complex-tables-with-multi-granular","title":"Retrieving Complex Tables with Multi-Granular Graph Representation Learning","date":"2021-05-04","arxiv_id":"2105.01736","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/table-search-using-a-deep-contextualized","title":"Table Search Using a Deep Contextualized Language Model","date":"2020-05-19","arxiv_id":"2005.09207","repositories_listed":1,"syntology":null},{"url":"/paper/190600041","title":"Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval","date":"2019-05-31","arxiv_id":"1906.00041","repositories_listed":1,"syntology":null}],"syntology_records":3,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}