Cover Image

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Zhiyao, Zhan, Yibing, Yu, Baosheng, Ding, Liang, Tao, Dacheng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation
by: Ren, Zhiyao, et al.
Published: (2026)

Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation
by: Ren, Zhiyao, et al.
Published: (2025)

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
by: Xia, Tianle, et al.
Published: (2024)

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation
by: Cai, Shizhan, et al.
Published: (2025)

Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning
by: Zan, Changtong, et al.
Published: (2024)

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

Re-Initialization Token Learning for Tool-Augmented Large Language Models
by: Li, Chenghao, et al.
Published: (2025)

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
by: Ho, Zheng Yi, et al.
Published: (2024)

Intention Analysis Makes LLMs A Good Jailbreak Defender
by: Zhang, Yuqi, et al.
Published: (2024)

Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
by: Zhang, Yanfang, et al.
Published: (2024)

Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
by: Wu, Yuchen, et al.
Published: (2025)

Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning
by: Zhong, Qihuang, et al.
Published: (2025)

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
by: Zhong, Qihuang, et al.
Published: (2025)

E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
by: Zhong, Qihuang, et al.
Published: (2022)

Self-Powered LLM Modality Expansion for Large Speech-Text Models
by: Yu, Tengfei, et al.
Published: (2024)

Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies
by: Zou, Mian, et al.
Published: (2025)

Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
by: Wu, Yuchen, et al.
Published: (2025)

Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
by: Wu, Yuchen, et al.
Published: (2025)

Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation
by: Lim, Seungseop, et al.
Published: (2025)

Beyond Idealized Patients: Evaluating LLMs under Challenging Patient Behaviors in Medical Consultations
by: Li, Yahan, et al.
Published: (2026)

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

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
by: Zhang, Zheng, et al.
Published: (2025)

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
by: Zhao, Shuguang, et al.
Published: (2025)

Instruction Learning Paradigms: A Dual Perspective on White-box and Black-box LLMs
by: Ren, Yanwei, et al.
Published: (2025)

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
by: Naderi, Nariman, et al.
Published: (2025)

Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)

Computer Environments Elicit General Agentic Intelligence in LLMs
by: Cheng, Daixuan, et al.
Published: (2026)

MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators
by: Lu, Qingyu, et al.
Published: (2024)

ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
by: Zhong, Qihuang, et al.
Published: (2024)

Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-Doubt
by: Peng, Keqin, et al.
Published: (2025)

PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
by: Zhong, Qihuang, et al.
Published: (2022)

The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
by: Lu, Qingyu, et al.
Published: (2026)

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought
by: Tan, Wentao, et al.
Published: (2025)

On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs
by: Ding, Hanxing, et al.
Published: (2025)

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
by: Xiong, Miao, et al.
Published: (2023)

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection
by: Zou, Mian, et al.
Published: (2025)

Copiloting Diagnosis of Autism in Real Clinical Scenarios via LLMs
by: Jiang, Yi, et al.
Published: (2024)

Uncertainty Aware Learning for Language Model Alignment
by: Wang, Yikun, et al.
Published: (2024)

OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
by: Wang, Shuai, et al.
Published: (2024)

WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge
by: Wang, Wenbin, et al.
Published: (2024)