RES-MR: Risk-Aware Reasoning for Explainable and Safe Medication Recommendation
cs.LG, cs.AI, cs.IR
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/wangcong2001/RES-MR
Sources
- Reasoning with Exploration: An Entropy Perspective
- Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
- Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation
- The Aloe Family Recipe for Open and Specialized Healthcare LLMs
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
- Large Language Model Distilling Medication Recommendation Model
- RewardDance: Reward Scaling in Visual Generation
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- Fine-grained Alignment of Large Language Models for General Medication Recommendation without Overprescription
- Group Sequence Policy Optimization
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks