SOTAVerified

Table Retrieval

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. As for the retrieval, the tables could be in the raw form (i.e. the values of each cells), the metadata (such as the title, description), or summary statistics.

Papers

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Showing 1–10 of 27 papers

TitleStatusHype
OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question AnsweringCode0
TARGET: Benchmarking Table Retrieval for Generative Tasks—0
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End SystemCode1
Bridging Queries and Tables through Entities in Table Retrieval—0
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective—0
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval—0
MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQLCode0
Simulating Users in Interactive Web Table RetrievalCode0
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense RetrievalCode0
The StatCan Dialogue Dataset: Retrieving Data Tables through Conversations with Genuine IntentsCode0
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