Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Jiacheng, Wu, Zhenbang, Sun, Jimeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
s3: You Don't Need That Much Data to Train a Search Agent via RL
by: Jiang, Pengcheng, et al.
Published: (2025)
by: Jiang, Pengcheng, et al.
Published: (2025)
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
by: Wu, John, et al.
Published: (2024)
by: Wu, John, et al.
Published: (2024)
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
by: Yuan, Qianhao, et al.
Published: (2025)
by: Yuan, Qianhao, et al.
Published: (2025)
Bridging the Reproducibility Divide: Open Source Software's Role in Standardizing Healthcare AI
by: Wu, John, et al.
Published: (2026)
by: Wu, John, et al.
Published: (2026)
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
by: Xu, Shicheng, et al.
Published: (2025)
by: Xu, Shicheng, et al.
Published: (2025)
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment
by: Lin, Jiacheng, et al.
Published: (2024)
by: Lin, Jiacheng, et al.
Published: (2024)
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
by: Jiang, Pengcheng, et al.
Published: (2024)
by: Jiang, Pengcheng, et al.
Published: (2024)
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
by: Chen, Mingyang, et al.
Published: (2025)
by: Chen, Mingyang, et al.
Published: (2025)
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction
by: Wu, John, et al.
Published: (2024)
by: Wu, John, et al.
Published: (2024)
EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning
by: Liu, Xiaoqian, et al.
Published: (2025)
by: Liu, Xiaoqian, et al.
Published: (2025)
Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
by: Deng, Wenhao, et al.
Published: (2025)
by: Deng, Wenhao, et al.
Published: (2025)
KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning
by: Xu, Hongling, et al.
Published: (2025)
by: Xu, Hongling, et al.
Published: (2025)
Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs
by: Yang, Wanli, et al.
Published: (2026)
by: Yang, Wanli, et al.
Published: (2026)
Beyond English-Centric Training: How Reinforcement Learning Improves Cross-Lingual Reasoning in LLMs
by: Huang, Shulin, et al.
Published: (2025)
by: Huang, Shulin, et al.
Published: (2025)
Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
by: Chen, Jingxiang, et al.
Published: (2026)
by: Chen, Jingxiang, et al.
Published: (2026)
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
by: Landes, Paul, et al.
Published: (2025)
by: Landes, Paul, et al.
Published: (2025)
Interleaved Reasoning for Large Language Models via Reinforcement Learning
by: Xie, Roy, et al.
Published: (2025)
by: Xie, Roy, et al.
Published: (2025)
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
by: Wu, Tong, et al.
Published: (2025)
by: Wu, Tong, et al.
Published: (2025)
Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
by: Fei, Zhaoye, et al.
Published: (2025)
by: Fei, Zhaoye, et al.
Published: (2025)
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
by: Wen, Xumeng, et al.
Published: (2025)
by: Wen, Xumeng, et al.
Published: (2025)
Training and Evaluation of Guideline-Based Medical Reasoning in LLMs
by: Staniek, Michael, et al.
Published: (2025)
by: Staniek, Michael, et al.
Published: (2025)
Social Determinants of Health Prediction for ICD-9 Code with Reasoning Models
by: Khan, Sharim, et al.
Published: (2025)
by: Khan, Sharim, et al.
Published: (2025)
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
by: Lin, Zhen, et al.
Published: (2023)
by: Lin, Zhen, et al.
Published: (2023)
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
by: Lin, Zhen, et al.
Published: (2024)
by: Lin, Zhen, et al.
Published: (2024)
Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding
by: Wang, Hanyin, et al.
Published: (2025)
by: Wang, Hanyin, et al.
Published: (2025)
Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs
by: Sun, Chuanneng, et al.
Published: (2024)
by: Sun, Chuanneng, et al.
Published: (2024)
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
by: Lin, Jiacheng, et al.
Published: (2025)
by: Lin, Jiacheng, et al.
Published: (2025)
AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning
by: Sun, Yuanfu, et al.
Published: (2026)
by: Sun, Yuanfu, et al.
Published: (2026)
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models
by: Cao, Lang, et al.
Published: (2024)
by: Cao, Lang, et al.
Published: (2024)
Concise Reasoning via Reinforcement Learning
by: Fatemi, Mehdi, et al.
Published: (2025)
by: Fatemi, Mehdi, et al.
Published: (2025)
Reliable Use of Lemmas via Eligibility Reasoning and Section$-$Aware Reinforcement Learning
by: Xu, Zhikun, et al.
Published: (2026)
by: Xu, Zhikun, et al.
Published: (2026)
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
by: Jin, Bowen, et al.
Published: (2025)
by: Jin, Bowen, et al.
Published: (2025)
UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting
by: Shields-Menard, Sara, et al.
Published: (2025)
by: Shields-Menard, Sara, et al.
Published: (2025)
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
by: Liang, Xiao, et al.
Published: (2026)
by: Liang, Xiao, et al.
Published: (2026)
Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning
by: Zhang, Yimeng, et al.
Published: (2025)
by: Zhang, Yimeng, et al.
Published: (2025)
FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs
by: Munnangi, Monica, et al.
Published: (2024)
by: Munnangi, Monica, et al.
Published: (2024)
Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning
by: Zhang, Xiaotian, et al.
Published: (2025)
by: Zhang, Xiaotian, et al.
Published: (2025)
Tagging the Thought: Unlocking Personalization Reasoning via Reinforcement Learning
by: Jin, Song, et al.
Published: (2025)
by: Jin, Song, et al.
Published: (2025)
Med-R$^3$: Enhancing Medical Retrieval-Augmented Reasoning of LLMs via Progressive Reinforcement Learning
by: Lu, Keer, et al.
Published: (2025)
by: Lu, Keer, et al.
Published: (2025)
Similar Items
-
s3: You Don't Need That Much Data to Train a Search Agent via RL
by: Jiang, Pengcheng, et al.
Published: (2025) -
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning
by: Wu, John, et al.
Published: (2024) -
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
by: Yuan, Qianhao, et al.
Published: (2025) -
Bridging the Reproducibility Divide: Open Source Software's Role in Standardizing Healthcare AI
by: Wu, John, et al.
Published: (2026) -
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
by: Xu, Shicheng, et al.
Published: (2025)