mlsanityData to 7 Oct 2026

Taxonomy-guided Semantic Indexing for Academic Paper Search

arXiv 2410.19218 ↗First posted 25 Oct 2024cs.IR cs.AIcited by 12

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Abstract (arXiv)

Academic paper search is an essential task for efficient literature discovery and scientific advancement. While dense retrieval has advanced various ad-hoc searches, it often struggles to match the underlying academic concepts between queries and documents, which is critical for paper search. To enable effective academic concept matching for paper search, we propose Taxonomy-guided Semantic Indexing (TaxoIndex) framework. TaxoIndex extracts key concepts from papers and organizes them as a semantic index guided by an academic taxonomy, and then leverages this index as foundational knowledge to identify academic concepts and link queries and documents. As a plug-and-play framework, TaxoIndex can be flexibly employed to enhance existing dense retrievers. Extensive experiments show that TaxoIndex brings significant improvements, even with highly limited training data, and greatly enhances interpretability.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 36 of its 46 references that are in the map. First posted on arXiv 25 Oct 2024.

Builds on

36 of 46 references.

References · 36

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24 more
  1. 2020Generation-Augmented Retrieval for Open-domain Question Answeringcited by 186
  2. 2021Optimizing Dense Retrieval Model Training with Hard Negativescited by 154
  3. 2022SciRepEval: A Multi-Format Benchmark for Scientific Document Representationscited by 124
  4. 2022From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effectivecited by 98
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  11. 2021Pseudo-Relevance Feedback for Multiple Representation Dense Retrievalcited by 31
  12. 2022TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusterscited by 30
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 9; 2026: 3.

12 papers.

  1. 2025Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluationcited by 41
  2. 2025TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corporacited by 23
  3. 2025Scientific Paper Retrieval with LLM-Guided Semantic-Based Rankingcited by 10
  4. 2025A Survey on Retrieval And Structuring Augmented Generation with Large Language Modelscited by 8
  5. 2025Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generationcited by 6
  6. 2025CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrievalcited by 5
  7. 2025The Ramon Llull's Thinking Machine for Automated Ideationcited by 2
  8. 2025Zero-Shot Open-Schema Entity Structure Discoverycited by 1
  9. 2025PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexingcited by 1
  10. 2026Improving Scientific Document Retrieval with Academic Concept Indexcited by 0
  11. 2026SPARROW: Scalable Taxonomy Induction via Structure-Preserving Partitioning and Constraint-Guided Mergingcited by 0
  12. 2026Concepts Complement Dense Semantics: Learning Compact Sparse Spaces for Text-Image Retrievalcited by 0