---
title: "Who cites ProMed: Shapley Information Gain — 4 citing papers"
description: "4 papers of the Elamur Research library cite «ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical…"
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---
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# 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»](https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/)

1. **[Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical Dialogue](https://md.research.elamur.ai/free/en/papers/yu-2026-experience-is-teacher-reusing-atomic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guangya Yu, Hui Luo, Qi Ye, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ding-2026-promed-shapley-information-gain-guided/) — ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs