Genomics & Informatics invites participating authors to submit to our Collection on Ensuring Robustness in LLM-based Biomedical Annotation.
The field of biomedical literature annotation plays an essential role in extracting pivotal knowledge from expansive biomedical texts while preserving the link between individual insights and their supporting evidence. Recent advances, notably the integration of Large Language Models (LLMs), have significantly transformed the landscape. However, these breakthroughs have also introduced challenges in reproducibility and reliable evaluation, raising concerns about the overall robustness of biomedical research.
The 9th edition of the Biomedical Linked Annotation Hackathon (BLAH), held in January 2025, centered on the theme “Ensuring Robustness in LLM-based Research.” This focus underscores the community’s commitment to harnessing cutting-edge technologies while addressing emerging challenges. At BLAH9, participants explored the intricate balance between leveraging LLMs and maintaining the stability of literature annotation, investigating novel approaches to enhance consistency and evaluation reliability.
This collection, titled ‘Ensuring Robustness in LLM-based Biomedical Annotation,’ invites contributions that showcase insights and findings from BLAH9. We welcome papers addressing methodological innovations, evaluation strategies, and practical solutions aimed at bolstering the reliability of LLM-based biomedical annotation systems.
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