Browse State-of-the-Art › Query-focused Summarization
Query-focused Summarization
18 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
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
18 shown of 18 papers with code (36 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 Apr 2024 3 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedTo combine the strengths of these contrasting methods, we propose a Graph RAG approach to question answering over private text corpora that scales with both the generality of user questions and the quantity of source…
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23 May 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Motivated by this, we define a new query-focused table summarization task, where text generation models have to perform human-like reasoning and analysis over the given table to generate a tailored summary.
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13 Mar 2025 1 repository listedIn the Query-Focused Summarization (QFS) task, GraphRAG-based approaches have notably enhanced the comprehensiveness and diversity of generated responses.
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20 Feb 2025 1 repository listedWe show how existing systems struggle to generate and properly cite unstructured evidence from their context, and that evidence tends to be "lost-in-the-middle".
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10 Nov 2024 1 repository listedQuery-focused summarization (QFS) is the task of generating a summary in response to a user-written query.
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15 Jul 2024 1 repository listedQuery-focused summarization (QFS) aims to produce summaries that answer particular questions of interest, enabling greater user control and personalization.
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4 Mar 2024 1 repository listedEnhancing the attribution in large language models (LLMs) is a crucial task.
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21 Dec 2023 1 repository listedQuery-focused summarization (QFS) aims to provide a summary of a single document/multi documents that can satisfy the information needs of a given query.
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29 Nov 2023 1 repository listedQuery-focused Summarization (QfS) deals with systems that generate summaries from document(s) based on a query.
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20 Jun 2023 1 repository listedTo address this problem, we propose QuOTeS, an interactive system designed to retrieve sentences related to a summary of the research from a collection of potential references and hence assist in the composition of new…
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24 May 2023 1 repository listed Syntology ran 1 of 18 samples · 17 unverifiedThe integration of multi-document pre-training objectives into language models has resulted in remarkable improvements in multi-document downstream tasks.
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23 Apr 2023 1 repository listedQuery-focused summarization (QFS) aims to provide a summary of a document that satisfies information need of a given query and is useful in various IR applications, such as abstractive snippet generation.
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2 Dec 2022 1 repository listedA primary objective of news articles is to establish the factual record for an event, frequently achieved by conveying both the details of the specified event (i.
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14 Dec 2021 1 repository listedQuery-focused summarization (QFS) aims to produce summaries that answer particular questions of interest, enabling greater user control and personalization.
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15 Oct 2021 1 repository listedGeneric summaries try to cover an entire document and query-based summaries try to answer document-specific questions.
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1 Jul 2021 1 repository listedA generic video summary is an abridged version of a video that conveys the whole story and features the most important scenes.
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27 May 2021 1 repository listedQuery focused summarization (QFS) models aim to generate summaries from source documents that can answer the given query.
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29 Dec 2020 1 repository listedThe availability of large-scale datasets has driven the development of neural models that create generic summaries from single or multiple documents.
Syntology lines on 3 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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