Cover Image

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nagar, Aishik, Kaliya-Perumal, Arun-Kumar, Han, Yu-Hsuan, Huang, Andrew Sheng-Han, Kee, Kristen, Cao, Yushi, Chen, Yiming, Jiang, Hongchao
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
by: Ye, Zhiling, et al.
Published: (2025)

uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization
by: Nagar, Aishik, et al.
Published: (2024)

ReMedi: Reasoner for Medical Clinical Prediction
by: Cao, Yushi, et al.
Published: (2026)

Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis
by: Nagar, Aishik, et al.
Published: (2024)

EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation
by: Guan, Xin, et al.
Published: (2026)

Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics
by: Sheng, Leheng, et al.
Published: (2026)

v-CLR: View-Consistent Learning for Open-World Instance Segmentation
by: Zhang, Chang-Bin, et al.
Published: (2025)

Open Rubric System: Scaling Reinforcement Learning with Pairwise Adaptive Rubric
by: Jia, Ruipeng, et al.
Published: (2026)

REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models for Trustworthy Open-Ended Grading
by: Zhao, Chengshuai, et al.
Published: (2026)

OpenREAD: Reinforced Open-Ended Reasoning for End-to-End Autonomous Driving with LLM-as-Critic
by: Zhang, Songyan, et al.
Published: (2025)

OpenSIR: Open-Ended Self-Improving Reasoner
by: Kwan, Wai-Chung, et al.
Published: (2025)

AEL: Agent Evolving Learning for Open-Ended Environments
by: Xu, Wujiang, et al.
Published: (2026)

InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training
by: Wang, Pengkai, et al.
Published: (2025)

SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction
by: Liang, April S., et al.
Published: (2025)

Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025)

Scaling Open-Ended Reasoning to Predict the Future
by: Chandak, Nikhil, et al.
Published: (2025)

How do Transformer Embeddings Represent Compositions? A Functional Analysis
by: Nagar, Aishik, et al.
Published: (2025)

SToLa: Self-Adaptive Touch-Language Framework with Tactile Commonsense Reasoning in Open-Ended Scenarios
by: Cheng, Ning, et al.
Published: (2025)

LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
by: Nagar, Aishik, et al.
Published: (2024)

CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
by: Jiang, Hongchao, et al.
Published: (2025)

Estimation of Ground Reaction Forces from Kinematic Data during Locomotion
by: Golani, Gautami, et al.
Published: (2026)

Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
by: Lee, Jinu, et al.
Published: (2025)

Towards Open-Ended Emotional Support Conversations in LLMs via Reinforcement Learning with Future-Oriented Rewards
by: Yang, Ting, et al.
Published: (2025)

Improving Open-Ended Text Generation via Adaptive Decoding
by: Zhu, Wenhong, et al.
Published: (2024)

Understanding the Benefits of SimCLR Pre-Training in Two-Layer Convolutional Neural Networks
by: Zhang, Han, et al.
Published: (2024)

CLR and Preservation.
by: Gwinn, Nancy E.
Published: (1981)

CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
by: Chen, Yongqiang, et al.
Published: (2026)

Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
by: Zhao, Yu, et al.
Published: (2024)

Dual Engines of Thoughts: A Depth-Breadth Integration Framework for Open-Ended Analysis
by: Yu, Fei-Hsuan, et al.
Published: (2025)

On Creativity and Open-Endedness
by: Soros, L. B., et al.
Published: (2024)

Focusing Robot Open-Ended Reinforcement Learning Through Users' Purposes
by: Cartoni, Emilio, et al.
Published: (2025)

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
by: Matthews, Michael, et al.
Published: (2024)

MediX-R1: Open Ended Medical Reinforcement Learning
by: Mullappilly, Sahal Shaji, et al.
Published: (2026)

Helix: Evolutionary Reinforcement Learning for Open-Ended Scientific Problem Solving
by: Su, Chang, et al.
Published: (2026)

Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning
by: Yuan, Jiahao, et al.
Published: (2025)

PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts
by: Li, Hengzhi, et al.
Published: (2025)

Open-Ended Multi-Modal Relational Reasoning for Video Question Answering
by: Luo, Haozheng, et al.
Published: (2020)

Think in Parallel, Answer as One: Logit Averaging for Open-Ended Reasoning
by: Wang, Haonan, et al.
Published: (2025)

Reinforcement Learning with Rubric Anchors
by: Huang, Zenan, et al.
Published: (2025)

LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms
by: Srivastava, Namrata, et al.
Published: (2025)