--- title: "Who cites BioASQ-QA: A manually curated — 72 citing papers" description: "72 papers of the Elamur Research library cite «BioASQ-QA: A manually curated corpus for Biomedical Question Answering», found in their…" canonical: "https://research.elamur.ai/free/en/papers/krithara-2023-bioasq-qa-manually-curated-corpus/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/krithara-2023-bioasq-qa-manually-curated-corpus/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [BioASQ-QA: A manually curated corpus for…](https://md.research.elamur.ai/free/en/papers/krithara-2023-bioasq-qa-manually-curated-corpus/) / cited by # Who cites «BioASQ-QA: A manually curated corpus for Biomedical Question Answering» 72 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · [← back to «BioASQ-QA: A manually curated corpus for Biomedical Question Answering»](https://md.research.elamur.ai/free/en/papers/krithara-2023-bioasq-qa-manually-curated-corpus/) 1. **[A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,875 citations* 2. **[Benchmarking Retrieval-Augmented Generation for Medicine](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.*2024 · 430 citations* 3. **[The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-dawn-after-dark-empirical-study/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyi Li, Jie Chen, Ruiyang Ren, et al.*2024 · 153 citations* 4. [**Language agents achieve superhuman synthesis of scientific knowledge arXiv:2409.13740**Michael D. Skarlinski; Sam Cox; Jon M. Laurent; James D. Braza; Michaela Hinks; Michael J. Hammerling; Manvitha Ponnapati; Samuel G. Rodriques;, Andrew D. White*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/skarlinski-2024-language-agents-achieve-superhuman/) 5. [**LAB-Bench: Measuring Capabilities of Language Models for Biology Research arXiv:2407.10362**Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, et al.*2024 · 62 citations*](https://md.research.elamur.ai/free/en/papers/laurent-2024-lab-bench-measuring-capabilities/) 6. **[AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset](https://md.research.elamur.ai/free/en/papers/nimo-2025-afrimed-qa-pan-african-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Charles Nimo, Tobi Olatunji, Abraham Toluwase Owodunni, et al.*2025 · 22 citations* 7. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations* 8. [**Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges arXiv:2309.12426**Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, et al.*2023 · 16 citations*](https://md.research.elamur.ai/free/en/papers/samuel-2023-llms-augment-low-resource-reading/) 9. **[s3: You Don't Need That Much Data to Train a Search Agent via RL](https://md.research.elamur.ai/free/en/papers/jiang-2025-s3-you-don-t-need/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, et al.*2025 · 12 citations* 10. **[MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents](https://md.research.elamur.ai/free/en/papers/wolfson-2026-monaco-more-natural-complex-questions/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tomer Wolfson, Harsh Trivedi, Mor Geva, et al.*2026 · 5 citations* 11. **[A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction](https://md.research.elamur.ai/free/en/papers/martinelli-2026-domain-specific-curated-benchmark-entity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Marco Martinelli, Stefano Marchesin, Vanessa Bonato, et al.*2026 · 4 citations* 12. [**PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering**Wookje Han, Jinsol Park, Kyungjae Lee*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/han-2023-prewome-exploiting-presuppositions-as-working/) 13. **[An Extreme Multi-label Text Classification (XMTC) Library Dataset: What If We Took “Use of Practical AI in Digital Libraries” Seriously?](https://md.research.elamur.ai/free/en/papers/souza-2026-extreme-multi-label-text-classification/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jennifer D'Souza, Sameer Sadruddin, Maximilian Kaehler, et al.*2026 · 2 citations* 14. **[Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs](https://md.research.elamur.ai/free/en/papers/thapa-2026-reasoning-or-knowledge-stratified-evaluation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rahul Thapa, Qingyang Wu, Kevin Wu, et al.*2026 · 1 citation* 15. **[When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-when-retrieval-doesn-t-help/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026 · 1 citation* 16. **[IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review](https://md.research.elamur.ai/free/en/papers/ma-2026-intragent-llm-agent-content-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fengbo Ma, Zixin Rao, Xiaoting Li, et al.*2026* 17. [**Language corpora for the Dutch medical domain arXiv:2604.25374**B. van Es*2026*](https://md.research.elamur.ai/free/en/papers/es-2026-language-corpora-dutch-medical-domain/) 18. **[MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics](https://md.research.elamur.ai/free/en/papers/lu-2026-metabench-multi-task-benchmark-assessing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxing Lu, Xukai Zhao, J. Ben Tamo, et al.*2026* 54 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/krithara-2023-bioasq-qa-manually-curated-corpus/) — BioASQ-QA: A manually curated corpus for Biomedical Question Answering