Triage
PulseAugur coverage of Triage — every cluster mentioning Triage across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New TRIAGE framework boosts OCT classification accuracy with less labeled data
Researchers have developed TRIAGE, a novel semi-supervised framework designed to improve the accuracy of retinal optical coherence tomography (OCT) classification. This method addresses the challenge of insufficient lab…
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Developers urged to version control AI system prompts for better logging and debugging
Developers often overlook the critical role of system prompts in AI applications, treating them as simple text strings without proper version control. This can lead to subtle, unlogged changes in AI behavior that are di…
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LLMs not yet safe for autonomous clinical triage, paper finds
A new paper argues that while large language models (LLMs) can pass medical licensing exams and assist in clinical tasks, they are not yet safe for autonomous patient triage. The core issue is not a lack of medical know…
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TRIAGE framework enhances trustworthiness in Graph-RAG systems
Researchers have introduced TRIAGE, a novel framework designed to evaluate and ensure the trustworthiness of knowledge graphs used in Graph-based Retrieval-Augmented Generation (Graph-RAG) systems. This framework addres…
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New LLM framework TRIAGE enhances medical risk prediction with dialectical reasoning
Researchers have developed a new framework called TRIAGE to improve risk prediction in medical time series data using large language models. TRIAGE addresses the issue of LLMs overconfidently predicting binary outcomes …
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New LLM framework TRIAGE improves medical risk prediction with dialectical reasoning
Researchers have developed a new framework called TRIAGE to enhance clinical early warning systems by leveraging large language models for risk prediction. TRIAGE trains an LLM to generate dialectical reasoning, weighin…
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LLMs fail at planning and admitting ignorance, new papers show
Two new papers evaluate the metacognitive abilities of large language models, specifically their capacity for planning and abstention. The TRIAGE paper found that most frontier and open-source LLMs perform poorly when t…
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New research probes LLM metacognition and strategic task management
Two new research papers introduce frameworks for evaluating the metacognitive abilities of large language models. The first, TRIAGE, assesses an LLM's capacity to strategically select and sequence tasks under resource c…