MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility
Fuente:
arXiv
Saved in:
| Main Authors: | He, Yexiao, Li, Ang, Liu, Boyi, Yao, Zhewei, He, Yuxiong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Self-Evolve
by: Chen, Xiaoyin, et al.
Published: (2026)
by: Chen, Xiaoyin, et al.
Published: (2026)
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
by: Wang, Zhaoyang, et al.
Published: (2026)
by: Wang, Zhaoyang, et al.
Published: (2026)
DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science
by: Shu, Fan, et al.
Published: (2026)
by: Shu, Fan, et al.
Published: (2026)
Inference Scaling for Bridging Retrieval and Augmented Generation
by: Lee, Youngwon, et al.
Published: (2024)
by: Lee, Youngwon, et al.
Published: (2024)
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation
by: Lee, Youngwon, et al.
Published: (2024)
by: Lee, Youngwon, et al.
Published: (2024)
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation
by: Qiao, Aurick, et al.
Published: (2024)
by: Qiao, Aurick, et al.
Published: (2024)
Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL
by: Yao, Zhewei, et al.
Published: (2025)
by: Yao, Zhewei, et al.
Published: (2025)
Learning to Hint for Reinforcement Learning
by: Xia, Yu, et al.
Published: (2026)
by: Xia, Yu, et al.
Published: (2026)
R$^3$-SQL: Ranking Reward and Resampling for Text-to-SQL
by: Han, Hojae, et al.
Published: (2026)
by: Han, Hojae, et al.
Published: (2026)
HiMed: Incentivizing Hindi Reasoning in Medical LLMs
by: Jiang, Dingfeng, et al.
Published: (2026)
by: Jiang, Dingfeng, et al.
Published: (2026)
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning
by: Lee, Jaeseong, et al.
Published: (2024)
by: Lee, Jaeseong, et al.
Published: (2024)
TreeRare: Syntax Tree-Guided Retrieval and Reasoning for Knowledge-Intensive Question Answering
by: Zhang, Boyi, et al.
Published: (2025)
by: Zhang, Boyi, et al.
Published: (2025)
OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
by: Lu, Pan, et al.
Published: (2025)
by: Lu, Pan, et al.
Published: (2025)
Agentic Verification for Ambiguous Query Disambiguation
by: Lee, Youngwon, et al.
Published: (2025)
by: Lee, Youngwon, et al.
Published: (2025)
ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering
by: Wu, Ruofan, et al.
Published: (2025)
by: Wu, Ruofan, 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)
MedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration
by: Yang, Dingkang, et al.
Published: (2024)
by: Yang, Dingkang, et al.
Published: (2024)
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2023)
by: Tang, Xiangru, et al.
Published: (2023)
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)
by: Tang, Xiangru, et al.
Published: (2025)
Extensible Embedding: A Flexible Multipler For LLM's Context Length
by: Shao, Ninglu, et al.
Published: (2024)
by: Shao, Ninglu, et al.
Published: (2024)
NLP Workbench: Efficient and Extensible Integration of State-of-the-art Text Mining Tools
by: Yao, Peiran, et al.
Published: (2023)
by: Yao, Peiran, et al.
Published: (2023)
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization
by: Shao, Ninglu, et al.
Published: (2024)
by: Shao, Ninglu, et al.
Published: (2024)
PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging
by: He, Jinlong, et al.
Published: (2024)
by: He, Jinlong, et al.
Published: (2024)
MedKGI: Iterative Differential Diagnosis with Medical Knowledge Graphs and Information-Guided Inquiring
by: Wang, Qipeng, et al.
Published: (2025)
by: Wang, Qipeng, et al.
Published: (2025)
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
by: Sun, Yu, et al.
Published: (2025)
by: Sun, Yu, et al.
Published: (2025)
TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning
by: Cheng, Mingyue, et al.
Published: (2026)
by: Cheng, Mingyue, et al.
Published: (2026)
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
by: Wu, Juncheng, et al.
Published: (2025)
by: Wu, Juncheng, et al.
Published: (2025)
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
by: He, Yexiao, et al.
Published: (2024)
by: He, Yexiao, et al.
Published: (2024)
MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis
by: Zhang, Yuting, et al.
Published: (2025)
by: Zhang, Yuting, et al.
Published: (2025)
ControlMed: Adding Reasoning Control to Medical Language Model
by: Lee, Sung-Min, et al.
Published: (2025)
by: Lee, Sung-Min, et al.
Published: (2025)
ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback
by: Zhai, Bohan, et al.
Published: (2025)
by: Zhai, Bohan, et al.
Published: (2025)
ASTER: Agentic Scaling with Tool-integrated Extended Reasoning
by: Zhang, Xuqin, et al.
Published: (2026)
by: Zhang, Xuqin, et al.
Published: (2026)
Med-CoReasoner: Reducing Language Disparities in Medical Reasoning via Language-Informed Co-Reasoning
by: Gao, Fan, et al.
Published: (2026)
by: Gao, Fan, et al.
Published: (2026)
ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions
by: Huang, Yue, et al.
Published: (2025)
by: Huang, Yue, et al.
Published: (2025)
Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias
by: Tian, Bowei, et al.
Published: (2024)
by: Tian, Bowei, et al.
Published: (2024)
RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering
by: Sivakumar, Aswini, et al.
Published: (2026)
by: Sivakumar, Aswini, et al.
Published: (2026)
InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and Reasoning
by: Liu, Zeyu, et al.
Published: (2025)
by: Liu, Zeyu, et al.
Published: (2025)
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models
by: Rawat, Rajat, et al.
Published: (2024)
by: Rawat, Rajat, et al.
Published: (2024)
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
by: Kim, Wonjoong, et al.
Published: (2025)
by: Kim, Wonjoong, et al.
Published: (2025)
MedTutor: A Retrieval-Augmented LLM System for Case-Based Medical Education
by: Jang, Dongsuk, et al.
Published: (2026)
by: Jang, Dongsuk, et al.
Published: (2026)
Similar Items
-
Learning to Self-Evolve
by: Chen, Xiaoyin, et al.
Published: (2026) -
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
by: Wang, Zhaoyang, et al.
Published: (2026) -
DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science
by: Shu, Fan, et al.
Published: (2026) -
Inference Scaling for Bridging Retrieval and Augmented Generation
by: Lee, Youngwon, et al.
Published: (2024) -
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation
by: Lee, Youngwon, et al.
Published: (2024)