🔗 Who cites «ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · ← back to «ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs»

1. Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical DialogueFindings of the Association for Computational LinguisticsGuangya Yu, Hui Luo, Qi Ye, et al.2026

3 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/cited-by/