mlsanityData to 7 Oct 2026

Results of the seventh edition of the BioASQ Challenge

arXiv 2006.09174 ↗First posted 16 Jun 2020cs.CL cs.IR cs.LGcited by 28

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Abstract (arXiv)

The results of the seventh edition of the BioASQ challenge are presented in this paper. The aim of the BioASQ challenge is the promotion of systems and methodologies through the organization of a challenge on the tasks of large-scale biomedical semantic indexing and question answering. In total, 30 teams with more than 100 systems participated in the challenge this year. As in previous years, the best systems were able to outperform the strong baselines. This suggests that state-of-the-art systems are continuously improving, pushing the frontier of research.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jun 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 5; 2023: 6; 2024: 8; 2025: 1; 2026: 1.

28 papers.

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  1. 2022BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Miningcited by 531
  2. 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answeringcited by 525
  3. 2022LinkBERT: Pretraining Language Models with Document Linkscited by 209
  4. 2022Deep Bidirectional Language-Knowledge Graph Pretrainingcited by 156
  5. 2021Pre-trained Language Models in Biomedical Domain: A Systematic Surveycited by 87
  6. 2021Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processingcited by 57
  7. 2023nach0: Multimodal Natural and Chemical Languages Foundation Modelcited by 26
  8. 2023LIQUID: A Framework for List Question Answering Dataset Generationcited by 19
  9. 2024Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Surveycited by 16
  10. 2021Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERTcited by 14
  11. 2021Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answeringcited by 13
  12. 2021Sequence tagging for biomedical extractive question answeringcited by 12
16 more
  1. 2024Improving Health Question Answering with Reliable and Time-Aware Evidence Retrievalcited by 12
  2. 2024BioMamba: Domain-Adaptive Biomedical Language Modelscited by 8
  3. 2021What Would it Take to get Biomedical QA Systems into Practice?cited by 7
  4. 2023Explanatory Argument Extraction of Correct Answers in Resident Medical Examscited by 6
  5. 2023THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrievalcited by 4
  6. 2024An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuningcited by 4
  7. 2021Low Resource Recognition and Linking of Biomedical Concepts from a Large Ontologycited by 3
  8. 2023UniDCP: Unifying Multiple Medical Vision-language Tasks via Dynamic Cross-modal Learnable Promptscited by 3
  9. 2025Combining Evidence and Reasoning for Biomedical Fact-Checkingcited by 3
  10. 2024Pre-training data selection for biomedical domain adaptation using journal impact metricscited by 2
  11. 2022Science Checker: Extractive-Boolean Question Answering For Scientific Fact Checkingcited by 1
  12. 2023Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphscited by 1
  13. 2024IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trialscited by 1
  14. 2026Retrieval Augmented Biomedical Question Answering with Weak Question Recovery and Neural Reranking for BioASQ Task 14bcited by 1
  15. 2024Boosting Biomedical Concept Extraction by Rule-Based Data Augmentationcited by 0
  16. 2024Adapter-based Approaches to Knowledge-enhanced Language Models -- A Surveycited by 0