Cover Image

MedCritical: Enhancing Medical Reasoning in Small Language Models via Self-Collaborative Correction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Su, Xinchun, Luo, Chunxu, Li, Yixuan, Yang, Weidong, Ma, Lipeng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction
by: Su, Xinchun, et al.
Published: (2026)

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model
by: Ma, Lipeng, et al.
Published: (2025)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2023)

MedReflect: Teaching Medical LLMs to Self-Improve via Reflective Correction
by: Huang, Yue, et al.
Published: (2025)

DeepThink3D: Enhancing Large Language Models with Programmatic Reasoning in Complex 3D Situated Reasoning Tasks
by: Song, Jiayi, et al.
Published: (2025)

MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
by: Shi, Wenqi, et al.
Published: (2024)

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
by: Li, Loka, et al.
Published: (2024)

FocusMed: A Large Language Model-based Framework for Enhancing Medical Question Summarization with Focus Identification
by: Liu, Chao, et al.
Published: (2025)

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

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
by: Zhang, Yichi, et al.
Published: (2025)

Lightweight Large Language Model for Medication Enquiry: Med-Pal
by: Elangovan, Kabilan, et al.
Published: (2024)

MedRECT: A Medical Reasoning Benchmark for Error Correction in Clinical Texts
by: Iwase, Naoto, et al.
Published: (2025)

Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
by: Gao, Kuofeng, et al.
Published: (2024)

InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and Reasoning
by: Liu, Zeyu, et al.
Published: (2025)

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
by: Xie, Congkai, et al.
Published: (2025)

MedGo: A Chinese Medical Large Language Model
by: Zhang, Haitao, et al.
Published: (2024)

Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
by: Zhang, Chuang, et al.
Published: (2026)

JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation
by: Bi, Zhenyu, et al.
Published: (2025)

MedCalc-Eval and MedCalc-Env: Advancing Medical Calculation Capabilities of Large Language Models
by: Mao, Kangkun, et al.
Published: (2025)

Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models
by: Singh, Joykirat, et al.
Published: (2025)

Large Language Models Cannot Self-Correct Reasoning Yet
by: Huang, Jie, et al.
Published: (2023)

Med-REFL: Medical Reasoning Enhancement via Self-Corrected Fine-grained Reflection
by: Yang, Zongxian, et al.
Published: (2025)

MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)

MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
by: Khandekar, Nikhil, et al.
Published: (2024)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
by: Bedi, Suhana, et al.
Published: (2025)

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation
by: Zhu, Xunyu, et al.
Published: (2024)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
by: Xi, Zhiheng, et al.
Published: (2023)

Distilling Mathematical Reasoning Capabilities into Small Language Models
by: Zhu, Xunyu, et al.
Published: (2024)

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning
by: Onyame, Eric, et al.
Published: (2026)

CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
by: Lin, Zicheng, et al.
Published: (2024)

LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
by: Yang, Hang, et al.
Published: (2024)

MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot
by: Zhao, Xuejiao, et al.
Published: (2025)

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning
by: Zhang, Xiaotian, et al.
Published: (2025)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)

MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework
by: Salim, Md Shahidul, et al.
Published: (2025)

CareMedEval dataset: Evaluating Critical Appraisal and Reasoning in the Biomedical Field
by: Bonzi, Doria, et al.
Published: (2025)

Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution
by: Jin, Qiao, et al.
Published: (2026)

Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning
by: Silver, Sam, et al.
Published: (2025)

Collaborative Stance Detection via Small-Large Language Model Consistency Verification
by: Yan, Yu, et al.
Published: (2025)

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
by: Yang, Qimin, et al.
Published: (2024)