BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
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Abstract (arXiv)
We introduce BIOMRC, a large-scale cloze-style biomedical MRC dataset. Care was taken to reduce noise, compared to the previous BIOREAD dataset of Pappas et al. (2018). Experiments show that simple heuristics do not perform well on the new dataset, and that two neural MRC models that had been tested on BIOREAD perform much better on BIOMRC, indicating that the new dataset is indeed less noisy or at least that its task is more feasible. Non-expert human performance is also higher on the new dataset compared to BIOREAD, and biomedical experts perform even better. We also introduce a new BERT-based MRC model, the best version of which substantially outperforms all other methods tested, reaching or surpassing the accuracy of biomedical experts in some experiments. We make the new dataset available in three different sizes, also releasing our code, and providing a leaderboard.
Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 May 2020.
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Citing papers per year: 2021: 7; 2022: 7; 2023: 6; 2024: 11; 2025: 3; 2026: 1.
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- 2023Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks16 Nov 2023
- 2023NuclearQA: A Human-Made Benchmark for Language Models for the Nuclear Domain17 Oct 2023
- 2023Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges21 Sep 2023
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- 2023Document Understanding Dataset and Evaluation (DUDE)15 May 2023
- 2023Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?16 Feb 2023
- 2022Few-shot Adaptation Works with UnpredicTable Data1 Aug 2022
- 2022BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing30 Jun 2022
- 2022Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question Answering26 Jun 2022
- 2022KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP21 Jun 2022
- 2022Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts25 May 2022
- 2022Data Augmentation for Biomedical Factoid Question Answering10 Apr 2022
- 2022ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers14 Feb 2022
- 2021Recent Advances in Automated Question Answering In Biomedical Domain10 Nov 2021
- 2021MetaICL: Learning to Learn In Context29 Oct 2021
- 2021Exploring Universal Intrinsic Task Subspace via Prompt Tuning15 Oct 2021
- 2021A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers7 May 2021
- 2021CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP18 Apr 2021
- 2021Sequence tagging for biomedical extractive question answering15 Apr 2021
- 2021Biomedical Question Answering: A Survey of Approaches and Challenges10 Feb 2021
- 2021A Dataset of Information-Seeking Questions and Answers Anchored in Research Paperscited by 475
- 2021MetaICL: Learning to Learn In Contextcited by 450
- 2021CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLPcited by 142
- 2023Document Understanding Dataset and Evaluation (DUDE)cited by 132
- 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Paperscited by 75
- 2021Biomedical Question Answering: A Survey of Approaches and Challengescited by 46
- 2024A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Taskscited by 46
- 2022BigBIO: A Framework for Data-Centric Biomedical Natural Language Processingcited by 36
- 2021Exploring Universal Intrinsic Task Subspace via Prompt Tuningcited by 25
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- 2023Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Taskscited by 13
- 2021Sequence tagging for biomedical extractive question answeringcited by 12
12 most cited of 33 All 33 (JSON)
- 2026Drift-Aware Temporal Graph Rewiring (DATGR) for Adaptive Semantic Modeling in Biomedical Text9 Jul 2026
- 2025Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering21 Oct 2025
- 2025IMB: An Italian Medical Benchmark for Question Answering21 Oct 2025
- 2025From Queries to Criteria: Understanding How Astronomers Evaluate LLMs21 Jul 2025
- 2024SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types16 Dec 2024
- 2024SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers8 Nov 2024
- 2024Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration11 Oct 2024
- 2024MoDEM: Mixture of Domain Expert Models9 Oct 2024
- 2024Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets4 Aug 2024
- 2024A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks17 Jul 2024
- 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers12 Jul 2024
- 2024M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering6 Jun 2024
12 newest of 33 All 33 (JSON)