Cover Image

MedS$^3$: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Shuyang, Liao, Yusheng, Chen, Zhe, Zhang, Ya, Wang, Yanfeng, Wang, Yu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation
by: Liao, Yusheng, et al.
Published: (2024)

Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications
by: Chen, Zhe, et al.
Published: (2025)

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts
by: Liao, Yusheng, et al.
Published: (2024)

ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents
by: Liao, Yusheng, et al.
Published: (2024)

TAIA: Large Language Models are Out-of-Distribution Data Learners
by: Jiang, Shuyang, et al.
Published: (2024)

Overthinking Reduction with Decoupled Rewards and Curriculum Data Scheduling
by: Jiang, Shuyang, et al.
Published: (2025)

Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next Paradigm
by: Liu, Hongcheng, et al.
Published: (2024)

Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach
by: Li, Haolin, et al.
Published: (2026)

DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
by: Guo, YiQiu, et al.
Published: (2025)

HeteroRAG: A Heterogeneous Retrieval-Augmented Generation Framework for Medical Vision Language Tasks
by: Chen, Zhe, et al.
Published: (2025)

Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation
by: Liao, Yusheng, et al.
Published: (2024)

DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction
by: Li, Yiqi, et al.
Published: (2025)

Miner:Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models
by: Jiang, Shuyang, et al.
Published: (2026)

AgentEHR: Advancing Autonomous Clinical Decision-Making via Retrospective Summarization
by: Liao, Yusheng, et al.
Published: (2026)

AdaThink-Med: Medical Adaptive Thinking with Uncertainty-Guided Length Calibration
by: Rui, Shaohao, et al.
Published: (2025)

MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception
by: Wang, Yuhao, et al.
Published: (2024)

AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation
by: Zhang, Xiechi, et al.
Published: (2025)

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking
by: Cheng, Xiaoxue, et al.
Published: (2025)

CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
by: Ouyang, Zetian, et al.
Published: (2024)

Evolving Interactive Diagnostic Agents in a Virtual Clinical Environment
by: Qiu, Pengcheng, et al.
Published: (2025)

Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator
by: Liao, Yusheng, et al.
Published: (2024)

EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis
by: Liao, Yusheng, et al.
Published: (2025)

DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics
by: Guo, YiQiu, et al.
Published: (2024)

ThinkQE: Query Expansion via an Evolving Thinking Process
by: Lei, Yibin, et al.
Published: (2025)

Fast, Slow, and Tool-augmented Thinking for LLMs: A Review
by: Jia, Xinda, et al.
Published: (2025)

Unlocking a New Rust Programming Experience: Fast and Slow Thinking with LLMs to Conquer Undefined Behaviors
by: Jiang, Renshuang, et al.
Published: (2025)

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph
by: Zhang, Duzhen, et al.
Published: (2025)

Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning
by: Xu, Xin, et al.
Published: (2025)

Selecting Auxiliary Data via Neural Tangent Kernels for Low-Resource Domains
by: Wang, Pingjie, et al.
Published: (2025)

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal
by: Wang, Yuhao, et al.
Published: (2024)

Guided Self-Evolving LLMs with Minimal Human Supervision
by: Yu, Wenhao, et al.
Published: (2025)

Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
by: Gan, Zeyu, et al.
Published: (2025)

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

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

MedSEBA: Synthesizing Evidence-Based Answers Grounded in Evolving Medical Literature
by: Vladika, Juraj, et al.
Published: (2025)

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

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
by: Sun, Hao, et al.
Published: (2023)

Deep Self-Evolving Reasoning
by: Liu, Zihan, et al.
Published: (2025)

MedPRMBench: A Fine-grained Benchmark for Process Reward Models in Medical Reasoning
by: Wu, Lingyan, et al.
Published: (2026)

Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview
by: Liu, Heyang, et al.
Published: (2024)