mlsanityData to 7 Oct 2026

Content-Based Citation Recommendation

arXiv 1802.08301 ↗First posted 22 Feb 2018cs.CL cs.DL cs.IRcited by 43

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Abstract (arXiv)

We present a content-based method for recommending citations in an academic paper draft. We embed a given query document into a vector space, then use its nearest neighbors as candidates, and rerank the candidates using a discriminative model trained to distinguish between observed and unobserved citations. Unlike previous work, our method does not require metadata such as author names which can be missing, e.g., during the peer review process. Without using metadata, our method outperforms the best reported results on PubMed and DBLP datasets with relative improvements of over 18% in F1@20 and over 22% in MRR. We show empirically that, although adding metadata improves the performance on standard metrics, it favors self-citations which are less useful in a citation recommendation setup. We release an online portal (http://labs.semanticscholar.org/citeomatic/) for citation recommendation based on our method, and a new dataset OpenCorpus of 7 million research articles to facilitate future research on this task.

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2018.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 9; 2022: 6; 2023: 9; 2024: 7; 2025: 6; 2026: 6.

43 papers.

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  1. 2022LinkBERT: Pretraining Language Models with Document Linkscited by 209
  2. 2023MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrievalcited by 182
  3. 2022Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddingscited by 75
  4. 2024LitSearch: A Retrieval Benchmark for Scientific Literature Searchcited by 47
  5. 2024CiteME: Can Language Models Accurately Cite Scientific Claims?cited by 45
  6. 2025Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluationcited by 41
  7. 2021Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similaritycited by 35
  8. 2023unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Networkcited by 24
  9. 2024What Can Natural Language Processing Do for Peer Review?cited by 24
  10. 2021CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Examplecited by 19
  11. 2021Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Rerankingcited by 18
  12. 2021CDLM: Cross-Document Language Modelingcited by 17
31 more
  1. 2023Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understandingcited by 16
  2. 2022X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documentscited by 12
  3. 2022Improving Wikipedia Verifiability with AIcited by 11
  4. 2021How Neural Processes Improve Graph Link Predictioncited by 6
  5. 2023PubGraph: A Large-Scale Scientific Knowledge Graphcited by 6
  6. 2021Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matchingcited by 5
  7. 2021CLAUSEREC: A Clause Recommendation Framework for AI-aided Contract Authoringcited by 4
  8. 2024KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Modelscited by 4
  9. 2025SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstractscited by 4
  10. 2022Why Did You Not Compare With That? Identifying Papers for Use as Baselinescited by 3
  11. 2022Large-scale Evaluation of Transformer-based Article Encoders on the Task of Citation Recommendationcited by 3
  12. 2023Anchor Prediction: Automatic Refinement of Internet Linkscited by 3
  13. 2024SymTax: Symbiotic Relationship and Taxonomy Fusion for Effective Citation Recommendationcited by 3
  14. 2023Transferability of Graph Neural Networks using Graphon and Sampling Theoriescited by 2
  15. 2023Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokenscited by 2
  16. 2025Insight-RAG: Enhancing LLMs with Insight-Driven Augmentationcited by 2
  17. 2021Knowledge-based XAI through CBR: There is more to explanations than models can tellcited by 1
  18. 2021Learning Bill Similarity with Annotated and Augmented Corpora of Billscited by 1
  19. 2023Paragraph-level Citation Recommendation based on Topic Sentences as Queriescited by 1
  20. 2025SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignmentcited by 1
  21. 2025Discourse-Aware Scientific Paper Recommendation via QA-Style Summarization and Multi-Level Contrastive Learningcited by 1
  22. 2026Public Profile Matters: A Scalable Integrated Approach to Recommend Citations in the Wildcited by 1
  23. 2026HyBIRD: Hyperbolic Bridge Retrieval and Diagnosis for Methodology Inspiration Retrievalcited by 1
  24. 2023Citation Recommendation on Scholarly Legal Articlescited by 0
  25. 2024Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable modelscited by 0
  26. 2024Benchmark for Evaluation and Analysis of Citation Recommendation Modelscited by 0
  27. 2025Talk2Ref: A Dataset for Reference Prediction from Scientific Talkscited by 0
  28. 2026How Does Research Evolve? Tracing Cross-Domain Trajectories in NLP, ML, and CV Through Claim-Grounded Typed Citationscited by 0
  29. 2026RWGBench: Evaluating Scholarly Positioning in Related Work Generationcited by 0
  30. 2026ATTRICITE: Training an Open 4B Model for Citation Recovery toward Faithful Attributioncited by 0
  31. 2026Inspire: Benchmarking Scientific Literature Search for Open Research Problemscited by 0