mlsanityData to 14 Oct 2026

MedCite: Can Language Models Generate Verifiable Text for Medicine?

arXiv 2506.06605 ↗First posted 7 Jun 2025cs.CL cs.AIcited by 11

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Abstract (arXiv)

Existing LLM-based medical question-answering systems lack citation generation and evaluation capabilities, raising concerns about their adoption in practice. In this work, we introduce name, the first end-to-end framework that facilitates the design and evaluation of citation generation with LLMs for medical tasks. Meanwhile, we introduce a novel multi-pass retrieval-citation method that generates high-quality citations. Our evaluation highlights the challenges and opportunities of citation generation for medical tasks, while identifying important design choices that have a significant impact on the final citation quality. Our proposed method achieves superior citation precision and recall improvements compared to strong baseline methods, and we show that evaluation results correlate well with annotation results from professional experts.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 33 of its 72 references that are in the map. First posted on arXiv 7 Jun 2025.

Builds on

33 of 72 references.

References · 33

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21 more
  1. 2021Unsupervised Dense Information Retrieval with Contrastive Learningcited by 1,216
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 8.

11 papers.

  1. 2025Rethinking Retrieval-Augmented Generation for Medicine: A Large-Scale, Systematic Expert Evaluation and Practical Insightscited by 6
  2. 2025Large Language Model Sourcing: A Surveycited by 5
  3. 2026MedTutor: A Retrieval-Augmented LLM System for Case-Based Medical Educationcited by 2
  4. 2026Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attributioncited by 2
  5. 2025CLINB: A Climate Intelligence Benchmark for Foundational Modelscited by 0
  6. 2026DoAtlas-1: A Causal Compilation Paradigm for Clinical AIcited by 0
  7. 2026Evidence-Based Intelligent Diagnostic and Therapeutic Visualization System with Large Language Models: Multi-Turn Interaction and Multimodal Treatment Plan Generationcited by 0
  8. 2026Explicit Evidence Grounding via Structured Inline Citation Generationcited by 0
  9. 2026MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Supportcited by 0
  10. 2026Do AI chatbots find what experts would? Effects of model, user role, and sample size on study retrieval for medical questionscited by 0
  11. 2026Verifiable by Construction: Claim-Level Evaluation of Verbatim Citation in Clinical Question Answeringcited by 0