Cover Image

OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ossowski, Timothy, Zhang, Sheng, Liu, Qianchu, Qin, Guanghui, Tan, Reuben, Naumann, Tristan, Hu, Junjie, Poon, Hoifung
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning
by: Zhang, Sheng, et al.
Published: (2025)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains
by: Liu, Qianchu, et al.
Published: (2025)

Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration
by: Huang, James Y., et al.
Published: (2025)

Scaling medical imaging report generation with multimodal reinforcement learning
by: Liu, Qianchu, et al.
Published: (2026)

CodeClinic: Evaluating Automation of Coding Skills for Clinical Reasoning Agents
by: Ossowski, Timothy, et al.
Published: (2026)

Exploring Scaling Laws for EHR Foundation Models
by: Zhang, Sheng, et al.
Published: (2025)

Prompting Large Vision-Language Models for Compositional Reasoning
by: Ossowski, Timothy, et al.
Published: (2024)

OLIVE: Object Level In-Context Visual Embeddings
by: Ossowski, Timothy, et al.
Published: (2024)

DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation
by: Xie, Yiqing, et al.
Published: (2023)

Learning Sparse Visual Representations via Spatial-Semantic Factorization
by: Zhao, Theodore Zhengde, et al.
Published: (2026)

OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
by: Lu, Pan, et al.
Published: (2025)

From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
by: Xu, Nan, et al.
Published: (2024)

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries
by: Gero, Zelalem, et al.
Published: (2024)

RiskCueBench: Benchmarking Anticipatory Reasoning from Early Risk Cues in Video-Language Models
by: Luo, Sha, et al.
Published: (2026)

COMMA: A Communicative Multimodal Multi-Agent Benchmark
by: Ossowski, Timothy, et al.
Published: (2024)

A-OctoMap: An Adaptive OctoMap for Online Path Planning
by: Mao, Yihui, et al.
Published: (2024)

How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes
by: Bhasin, Harmon, et al.
Published: (2024)

MedVLThinker: Simple Baselines for Multimodal Medical Reasoning
by: Huang, Xiaoke, et al.
Published: (2025)

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
by: Shi, Baorong, et al.
Published: (2026)

ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation
by: Liu, Qin, et al.
Published: (2025)

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
by: Zhou, Wenxuan, et al.
Published: (2023)

mDPO: Conditional Preference Optimization for Multimodal Large Language Models
by: Wang, Fei, et al.
Published: (2024)

Video Models Can Reason with Verifiable Rewards
by: Zhu, Tinghui, et al.
Published: (2026)

Octo: An Open-Source Generalist Robot Policy
by: Octo Model Team, et al.
Published: (2024)

Generative Medical Event Models Improve with Scale
by: Waxler, Shane, et al.
Published: (2025)

OctoNav: Towards Generalist Embodied Navigation
by: Gao, Chen, et al.
Published: (2025)

OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
by: Zhang, Kaichen, et al.
Published: (2025)

T-Rex: Text-assisted Retrosynthesis Prediction
by: Liu, Yifeng, et al.
Published: (2024)

MTA-Agent: An Open Recipe for Multimodal Deep Search Agents
by: Peng, Xiangyu, et al.
Published: (2026)

MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
by: Liu, Qin, et al.
Published: (2025)

OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas
by: Huang, James Y., et al.
Published: (2025)

Pareto Optimal Learning for Estimating Large Language Model Errors
by: Zhao, Theodore, et al.
Published: (2023)

Cautionary Tales on Synthetic Controls in Survival Analyses
by: Curth, Alicia, et al.
Published: (2023)

Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale
by: Wong, Cliff, et al.
Published: (2025)

OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling
by: Wang, Zengzhi, et al.
Published: (2025)

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
by: Wu, Juncheng, et al.
Published: (2025)

The Illusion of Readiness in Health AI
by: Gu, Yu, et al.
Published: (2025)

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning
by: Gong, Haozhen, et al.
Published: (2025)

MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models
by: Huang, Yu, et al.
Published: (2025)

MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
by: Zhang, Yuting, et al.
Published: (2025)