An agent harness combining staged task decomposition, multimodal evidence tooling, and artifact-grounded self-improvement scores 81.0 GRAS on multimodal scientific curation, 22.4 points above the strongest baseline — with the caveat that 8 of 23 evaluation papers were used for optimization.
A corpus with multi -level annotations of patients, interventions and outcomes to support language processing for medical literature,
3 Pith papers cite this work, alongside 18 external citations. Polarity classification is still indexing.
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Pith papers citing it
18
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representative citing papers
Introduces a new English dataset from r/AskParents and r/needadvice annotated for advice sentences plus preliminary models showing pre-trained LMs outperform rule-based systems but the task remains challenging.
A BERT variant continued-pretrained on PubMed and MIMIC-III with a custom biomedical vocabulary is reported to outperform existing biomedical BERT variants on most of 17 benchmark tasks, but the comparison has unresolved confounds and data errors.
citing papers explorer
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Building Agent Harnesses for Scientific Curation from Multimodal Sources
An agent harness combining staged task decomposition, multimodal evidence tooling, and artifact-grounded self-improvement scores 81.0 GRAS on multimodal scientific curation, 22.4 points above the strongest baseline — with the caveat that 8 of 23 evaluation papers were used for optimization.
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Help! Need Advice on Identifying Advice
Introduces a new English dataset from r/AskParents and r/needadvice annotated for advice sentences plus preliminary models showing pre-trained LMs outperform rule-based systems but the task remains challenging.
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MedicalBERT: enhancing biomedical natural language processing using pretrained BERT-based model
A BERT variant continued-pretrained on PubMed and MIMIC-III with a custom biomedical vocabulary is reported to outperform existing biomedical BERT variants on most of 17 benchmark tasks, but the comparison has unresolved confounds and data errors.