mlsanityData to 13 Oct 2026

Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

arXiv 2307.05131 ↗First posted 11 Jul 2023cs.CLcited by 18

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Abstract (arXiv)

This is an overview of the eleventh edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2023. BioASQ is a series of international challenges promoting advances in large-scale biomedical semantic indexing and question answering. This year, BioASQ consisted of new editions of the two established tasks b and Synergy, and a new task (MedProcNER) on semantic annotation of clinical content in Spanish with medical procedures, which have a critical role in medical practice. In this edition of BioASQ, 28 competing teams submitted the results of more than 150 distinct systems in total for the three different shared tasks of the challenge. Similarly to previous editions, most of the participating systems achieved competitive performance, suggesting the continuous advancement of the state-of-the-art in the field.

Key facts. Cited by 18 papers in the map (data through 13 Oct 2026). Builds on 7 of its 36 references that are in the map. First posted on arXiv 11 Jul 2023.

Builds on

7 of 36 references.

References · 7

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,322
  2. 2020Self-Alignment Pretraining for Biomedical Entity Representationscited by 234
  3. 2021Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 19
  4. 2021Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 13
  5. 2022Overview of BioASQ 2022: The tenth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 9
  6. 2022Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answeringcited by 3
  7. 2023Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Trainingcited by 1

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2024: 6; 2025: 9; 2026: 3.

18 papers.

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  1. 2024SnapKV: LLM Knows What You are Looking for Before Generationcited by 856
  2. 2024MM-Embed: Universal Multimodal Retrieval with Multimodal LLMscited by 160
  3. 2025From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?cited by 23
  4. 2025Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 11
  5. 2025VeriCoT: Neuro-symbolic Chain-of-Thought Validation via Logical Consistency Checkscited by 10
  6. 2025The Geometries of Truth Are Orthogonal Across Taskscited by 9
  7. 2024BioMamba: Domain-Adaptive Biomedical Language Modelscited by 8
  8. 2025A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Supportcited by 7
  9. 2024SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generationcited by 5
  10. 2024Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questionscited by 4
  11. 2025Overview of BioASQ 2024: The twelfth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 4
  12. 2024Multi-Field Adaptive Retrievalcited by 3
6 more
  1. 2025BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignmentcited by 2
  2. 2025CaresAI at BioCreative IX Track 1 -- LLM for Biomedical QAcited by 1
  3. 2026LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMscited by 1
  4. 2025Mirror, Mirror on the Wall -- Which is the Best Model of Them All?cited by 0
  5. 2026BAGEL: Benchmarking Animal Knowledge Expertise in Language Modelscited by 0
  6. 2026Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 0