Browse State-of-the-Art › Citation Recommendation
Citation Recommendation
30 papers with code · 0 benchmarks · 10 datasets 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
10 datasets 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.
Most implemented papers archive 2025-07-28
30 shown of 30 papers with code (55 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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15 Feb 2020 3 repositories listedThe process of recommending citations for citation contexts is called local citation recommendation and is the focus of this paper.
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2 Jan 2021 2 repositories listedWe introduce a new pretraining approach geared for multi-document language modeling, incorporating two key ideas into the masked language modeling self-supervised objective.
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30 May 2025 1 repository listedIn the era of foundation models, Out-of- Distribution (OOD) problems, i.
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23 Dec 2024 1 repository listed Syntology ran 0 of 16 samples · 16 unverifiedIn the local context-only base scheme (CiteBART-Base), the citation token in a local context is masked to learn to predict the citation.
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26 May 2024 1 repository listedWe conduct extensive experiments and ablation studies to demonstrate the effectiveness and design choice of each module in our framework.
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13 Mar 2024 1 repository listedWe contribute a novel dataset for the evidence-grounded local citation recommendation task and demonstrate the efficacy of our proposed conditional neural rank-ensembling approach for re-ranking evidence spans.
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4 Mar 2024 1 repository listed Syntology ran 8 of 8 samples · 0 unverified · 8 pointer-only (licence)To help improve citations of full papers, we first define a novel task of Recommending Missed Citations Identified by Reviewers (RMC) and construct a corresponding expert-labeled dataset called CitationR.
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10 Nov 2023 1 repository listedCitation recommendation is the task of finding appropriate citations based on a given piece of text.
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20 May 2023 1 repository listedCitation recommendation (CR) models may help authors find relevant articles at various stages of the paper writing process.
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27 Mar 2023 1 repository listedLarge-scale data sets on scholarly publications are the basis for a variety of bibliometric analyses and natural language processing (NLP) applications.
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26 Sep 2022 1 repository listedOur experiments establish that our proposed network-based methods significantly improve the correlation with domain experts' opinion when compared to the existing methods for network-based legal document similarity.
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12 Sep 2022 1 repository listedAs a remedy for the limitations of the existing benchmarks, we propose a new benchmark dataset for evaluating scientific article representations: Multi-Domain Citation Recommendation dataset (MDCR), which covers…
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8 Jul 2022 1 repository listedHence, maintaining and improving the quality of Wikipedia references is an important challenge and there is a pressing need for better tools to assist humans in this effort.
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1 May 2022 1 repository listedTwitter has slowly but surely established itself as a forum for disseminating, analysing and promoting NLP research.
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2 Dec 2021 1 repository listedThe goal of local citation recommendation is to recommend a missing reference from the local citation context and optionally also from the global context.
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17 Aug 2021 1 repository listedOur test collection and code to replicate experiments are available at https://github.
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20 Jun 2021 1 repository listedLawyers and judges spend a large amount of time researching the proper legal authority to cite while drafting decisions.
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10 Jun 2021 1 repository listedCitation recommendation for research papers is a valuable task that can help researchers improve the quality of their work by suggesting relevant related work.
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1 Jun 2021 1 repository listedThen, we create a dataset of academic papers that can be used for the evaluation of each task as well as a series of these tasks.
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10 May 2021 1 repository listedIn conclusion, it is crucial to consider the semantics of the item co-occurrence for the choice of an appropriate recommendation model and carefully decide which metadata to exploit.
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1 Nov 2020 1 repository listedLocal citation recommendation aims at finding articles relevant for given citation context.
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3 Oct 2020 1 repository listedText alignment finds application in tasks such as citation recommendation and plagiarism detection.
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8 Apr 2020 1 repository listedNew research is being published at a rate, at which it is infeasible for many scholars to read and assess everything possibly relevant to their work.
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2 Mar 2020 1 repository listedThe data set, which is made freely available for research purposes, not only can enhance the future evaluation of research paper-based and citation context-based approaches, but also serve as a basis for new ways to…
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17 Feb 2020 1 repository listedIn recent years, several approaches and evaluation data sets have been presented.
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22 Jul 2019 1 repository listedWe present multi-modal adversarial autoencoders for recommendation and evaluate them on two different tasks: citation recommendation and subject label recommendation.
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15 Mar 2019 1 repository listedMany researchers have utilized the text data called the context sentence, which surrounds the citation tag, and the metadata of the target paper to find the appropriate cited research.
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31 Dec 2018 1 repository listedWhile the volume of scholarly publications has increased at a frenetic pace, accessing and consuming the useful candidate papers, in very large digital libraries, is becoming an essential and challenging task for…
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10 May 2018 1 repository listedHypertext documents, such as web pages and academic papers, are of great importance in delivering information in our daily life.
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22 Feb 2018 1 repository listed Syntology ran 0 of 6 samples · 6 unverifiedWe present a content-based method for recommending citations in an academic paper draft.
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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