Papers with Bayesian active learning

2 papers
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning (2025.emnlp-main)

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Challenge: a shortage of medical doctors limits access to timely and reliable healthcare . authors propose a multi-turn LLM-based medical assistant for medical inquiries .
Approach: They propose a multi-turn LLM-based medical assistant that asks patients with patience . they compare it with SOTA one-shot and multi-turned LLMs to evaluate its performance .
Outcome: The proposed medical assistant improves diagnostic accuracy, reduces uncertainty and enhances user experience.
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study (D18-1)

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Challenge: Existing studies on Active Learning (AL) for natural language processing have limited data requirements.
Approach: They propose a Bayesian active learning approach that reduces deep learning's data dependence by comparing models and acquisition functions.
Outcome: The proposed approach outperforms i.i.d. baselines and is more efficient than other approaches.

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