Cover Image

MedReflect: Teaching Medical LLMs to Self-Improve via Reflective Correction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Yue, Chen, Yanyuan, Xu, Dexuan, Zhao, Chenzhuo, Yue, Weihua, Huang, Yu
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

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales
by: Xu, Tianyang, et al.
Published: (2024)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection
by: Lee, Kyungjae, et al.
Published: (2024)

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
by: Ding, Hongxin, et al.
Published: (2025)

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

MedEinst: Benchmarking the Einstellung Effect in Medical LLMs through Counterfactual Differential Diagnosis
by: Chen, Wenting, et al.
Published: (2026)

MedCritical: Enhancing Medical Reasoning in Small Language Models via Self-Collaborative Correction
by: Su, Xinchun, et al.
Published: (2025)

Improved Generalized Planning with LLMs through Strategy Refinement and Reflection
by: Stein, Katharina, et al.
Published: (2025)

TasTe: Teaching Large Language Models to Translate through Self-Reflection
by: Wang, Yutong, et al.
Published: (2024)

Reflection Pretraining Enables Token-Level Self-Correction in Biological Sequence Models
by: Zhang, Xiang, et al.
Published: (2025)

ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework
by: Qin, Kai, et al.
Published: (2026)

MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration
by: Lu, Hao, et al.
Published: (2025)

Meta-Reflection: A Feedback-Free Reflection Learning Framework
by: Wang, Yaoke, et al.
Published: (2024)

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

LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation
by: Zhang, Ming, et al.
Published: (2025)

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024)

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

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
by: Liu, Liangxin, et al.
Published: (2024)

When to Trust Context: Self-Reflective Debates for Context Reliability
by: Zhou, Zeqi, et al.
Published: (2025)

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

Vision-Language Models Can Self-Improve Reasoning via Reflection
by: Cheng, Kanzhi, et al.
Published: (2024)

The Riddle of Reflection: Evaluating Reasoning and Self-Awareness in Multilingual LLMs using Indian Riddles
by: M, Abhinav P, et al.
Published: (2025)

SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
by: Kirchhof, Michael, et al.
Published: (2025)

ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context
by: Kim, Joongwon, et al.
Published: (2025)

Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
by: Tie, Guiyao, et al.
Published: (2025)

Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty
by: Yu, Zewei, et al.
Published: (2026)

Thinking Out of Order: When Output Order Stops Reflecting Reasoning Order in Diffusion Language Models
by: Yu, Longxuan, et al.
Published: (2026)

IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
by: Bai, Yuzhuo, et al.
Published: (2025)

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

MedMT-Bench: Can LLMs Memorize and Understand Long Multi-Turn Conversations in Medical Scenarios?
by: Yang, Lin, et al.
Published: (2026)

MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts
by: Xia, Shujun, et al.
Published: (2025)

MedSpeak: A Knowledge Graph-Aided ASR Error Correction Framework for Spoken Medical QA
by: Song, Yutong, et al.
Published: (2026)

ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
by: Sun, Yu, et al.
Published: (2025)

ReflectSumm: A Benchmark for Course Reflection Summarization
by: Zhong, Yang, et al.
Published: (2024)

Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
by: Li, Pengxiang, et al.
Published: (2025)

TTSR: Test-Time Self-Reflection for Continual Reasoning Improvement
by: He, Haoyang, et al.
Published: (2026)

Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
by: Li, Jiachun, et al.
Published: (2024)

Efficient Reasoning Through Suppression of Self-Affirmation Reflections in Large Reasoning Models
by: Liu, Kaiyuan, et al.
Published: (2025)

Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection
by: Phan, Hoang, et al.
Published: (2025)

Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives
by: Zhang, Wenqi, et al.
Published: (2024)

Self-Reflection in LLM Agents: Effects on Problem-Solving Performance
by: Renze, Matthew, et al.
Published: (2024)