MedCite: Can Language Models Generate Verifiable Text for Medicine?
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xiao, Tan, Mengjue, Jin, Qiao, Xiong, Guangzhi, Hu, Yu, Zhang, Aidong, Lu, Zhiyong, Zhang, Minjia |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
Benchmarking Retrieval-Augmented Generation for Medicine
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
Supervising the search process produces reliable and generalizable information-seeking agents
by: Xiong, Guangzhi, et al.
Published: (2025)
by: Xiong, Guangzhi, et al.
Published: (2025)
Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution
by: Jin, Qiao, et al.
Published: (2026)
by: Jin, Qiao, et al.
Published: (2026)
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
by: Khandekar, Nikhil, et al.
Published: (2024)
by: Khandekar, Nikhil, et al.
Published: (2024)
Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models
by: He, Zhenghao, et al.
Published: (2026)
by: He, Zhenghao, et al.
Published: (2026)
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
by: Xiong, Guangzhi, et al.
Published: (2025)
by: Xiong, Guangzhi, et al.
Published: (2025)
Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning
by: Fang, Yin, et al.
Published: (2025)
by: Fang, Yin, et al.
Published: (2025)
Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators
by: Wan, Nicholas, et al.
Published: (2024)
by: Wan, Nicholas, et al.
Published: (2024)
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Retrieving Counterfactuals Improves Visual In-Context Learning
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
Large Language Models Lack Temporal Awareness of Medical Knowledge
by: Guan, Zihan, et al.
Published: (2026)
by: Guan, Zihan, et al.
Published: (2026)
IdeaBench: Benchmarking Large Language Models for Research Idea Generation
by: Guo, Sikun, et al.
Published: (2024)
by: Guo, Sikun, et al.
Published: (2024)
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models
by: Xiong, Guangzhi, et al.
Published: (2025)
by: Xiong, Guangzhi, et al.
Published: (2025)
COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
CiteME: Can Language Models Accurately Cite Scientific Claims?
by: Press, Ori, et al.
Published: (2024)
by: Press, Ori, et al.
Published: (2024)
Harnessing PubMed User Query Logs for Post Hoc Explanations of Recommended Similar Articles
by: Shin, Ashley, et al.
Published: (2024)
by: Shin, Ashley, et al.
Published: (2024)
Cited Text Spans for Citation Text Generation
by: Li, Xiangci, et al.
Published: (2023)
by: Li, Xiangci, et al.
Published: (2023)
Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
A General Method for Detecting Information Generated by Large Language Models
by: Mao, Minjia, et al.
Published: (2025)
by: Mao, Minjia, et al.
Published: (2025)
Structural Causality-based Generalizable Concept Discovery Models
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
by: Shi, Kaiwen, et al.
Published: (2026)
by: Shi, Kaiwen, et al.
Published: (2026)
Early Stopping Chain-of-thoughts in Large Language Models
by: Mao, Minjia, et al.
Published: (2025)
by: Mao, Minjia, et al.
Published: (2025)
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
SALMONN: Towards Generic Hearing Abilities for Large Language Models
by: Tang, Changli, et al.
Published: (2023)
by: Tang, Changli, et al.
Published: (2023)
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
by: Wang, Zheng, et al.
Published: (2024)
by: Wang, Zheng, et al.
Published: (2024)
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
CoLiDR: Concept Learning using Aggregated Disentangled Representations
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
A Self-explaining Neural Architecture for Generalizable Concept Learning
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information
by: Jin, Qiao, et al.
Published: (2023)
by: Jin, Qiao, et al.
Published: (2023)
Watermarking Low-entropy Generation for Large Language Models: An Unbiased and Low-risk Method
by: Mao, Minjia, et al.
Published: (2024)
by: Mao, Minjia, et al.
Published: (2024)
Measuring Stereotype and Deviation Biases in Large Language Models
by: Wang, Daniel, et al.
Published: (2025)
by: Wang, Daniel, et al.
Published: (2025)
Accelerating Clinical Evidence Synthesis with Large Language Models
by: Wang, Zifeng, et al.
Published: (2024)
by: Wang, Zifeng, et al.
Published: (2024)
Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents
by: Onweller, Hailey, et al.
Published: (2026)
by: Onweller, Hailey, et al.
Published: (2026)
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
by: Jin, Qiao, et al.
Published: (2023)
by: Jin, Qiao, et al.
Published: (2023)
Bayesian WeakS-to-Strong from Text Classification to Generation
by: Cui, Ziyun, et al.
Published: (2024)
by: Cui, Ziyun, et al.
Published: (2024)
Similar Items
-
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions
by: Xiong, Guangzhi, et al.
Published: (2024) -
Benchmarking Retrieval-Augmented Generation for Medicine
by: Xiong, Guangzhi, et al.
Published: (2024) -
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026) -
Supervising the search process produces reliable and generalizable information-seeking agents
by: Xiong, Guangzhi, et al.
Published: (2025) -
Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution
by: Jin, Qiao, et al.
Published: (2026)