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LLMs used for zero-shot active feature acquisition in medical diagnosis

By PulseAugur Editorial · [3 sources] ·

Researchers have developed a novel framework for zero-shot active feature acquisition (AFA) by leveraging large language models (LLMs) through a disciplined elicitation process. This method focuses on extracting specific statistical information from LLMs, such as unary deviations and pairwise co-variations, which are then used to guide feature selection for classification or ranking tasks. The framework was evaluated on a cohort of Inflammatory Bowel Disease (IBD) patients, demonstrating superior performance compared to existing methods, particularly for complex cases. AI

IMPACT This research could improve diagnostic accuracy and efficiency in healthcare by enabling more effective feature selection in complex patient cases.

RANK_REASON The cluster contains two identical arXiv preprints detailing a new research methodology.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

LLMs used for zero-shot active feature acquisition in medical diagnosis

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The cluster contains two identical arXiv preprints detailing a new research methodology.
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COVERAGE [3]

  1. arXiv cs.LG TIER_1 English(EN) · Binyamin Perets, Natalie Mendelson, Shiran Vainberg, Yehuda Chowers, Shai Shen-Orr, Shie Mannor ·

    Zero-Shot Active Feature Acquisition via LLM-Elicitation

    arXiv:2606.18933v1 Announce Type: new Abstract: Active feature acquisition (AFA) sequentially selects which features to observe to reach a classification or ranking decision. Its central limitation is reliance on large amount of labeled data to fit probabilistic models guiding ac…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Shie Mannor ·

    Zero-Shot Active Feature Acquisition via LLM-Elicitation

    Active feature acquisition (AFA) sequentially selects which features to observe to reach a classification or ranking decision. Its central limitation is reliance on large amount of labeled data to fit probabilistic models guiding acquisition. Large language models (LLMs) supply u…

  3. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Shie Mannor ·

    Zero-Shot Active Feature Acquisition via LLM-Elicitation

    Active feature acquisition (AFA) sequentially selects which features to observe to reach a classification or ranking decision. Its central limitation is reliance on large amount of labeled data to fit probabilistic models guiding acquisition. Large language models (LLMs) supply u…

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