mlsanityData to 14 Oct 2026

PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing

arXiv 2508.11116 ↗First posted 14 Aug 2025cs.IR cs.CLcited by 1

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Abstract (arXiv)

As researchers delve more deeply into their work, paper search requirements may become more flexible, sometimes involving specific details such as module configuration rather than being limited to coarse-grained topics. However, previous paper search systems are unable to meet these flexible-grained requirements, as previous systems mainly collect paper abstract to construct corpus index, which lacks detailed information to support retrieval by some finer-grained queries. In this work, we propose PaperRegister, which transforms traditional abstract-based index into a hierarchical index tree, thereby supporting queries at flexible granularity. Experiments on paper search tasks across a range of granularity demonstrate that PaperRegister achieves the SOTA performance, and particularly excels in the fine-grained scenarios, highlighting good potential as an effective solution for flexible-grained paper search in real-world applications. https://github.com/Li-Z-Q/PaperRegister.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 20 of its 31 references that are in the map. First posted on arXiv 14 Aug 2025.

Builds on

20 of 31 references.

References · 20

  1. 2024DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Modelscited by 9,379
  2. 2019The Curious Case of Neural Text Degenerationcited by 2,916
  3. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,453
  4. 2023Towards General Text Embeddings with Multi-stage Contrastive Learningcited by 723
  5. 2020Fact or Fiction: Verifying Scientific Claimscited by 554
  6. 2022Precise Zero-Shot Dense Retrieval without Relevance Labelscited by 517
  7. 2020SPECTER: Document-level Representation Learning using Citation-informed Transformerscited by 430
  8. 2025Towards Scientific Intelligence: A Survey of LLM-based Scientific Agentscited by 98
  9. 2024StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurizationcited by 71
  10. 2025PaSa: An LLM Agent for Comprehensive Academic Paper Searchcited by 64
  11. 2020BERT-QE: Contextualized Query Expansion for Document Re-rankingcited by 40
  12. 2021CSFCube -- A Test Collection of Computer Science Research Articles for Faceted Query by Examplecited by 20
8 more
  1. 2025EnrichIndex: Using LLMs to Enrich Retrieval Indices Offlinecited by 15
  2. 2023Context Aware Query Rewriting for Text Rankers using LLMcited by 14
  3. 2024Taxonomy-guided Semantic Indexing for Academic Paper Searchcited by 12
  4. 2025Scientific Paper Retrieval with LLM-Guided Semantic-Based Rankingcited by 10
  5. 2025DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinkingcited by 9
  6. 2024AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labelscited by 8
  7. 2024Multi-Field Adaptive Retrievalcited by 4
  8. 2025Pseudo Relevance Feedback is Enough to Close the Gap Between Small and Large Dense Retrieval Modelscited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026MetaphorVU: Towards Metaphorical Video Understandingcited by 0