Saved in:
| Main Authors: | Zuo, Kaiwen, Jiang, Yirui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.18947 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models
by: Yan, Qiao, et al.
Published: (2025)
by: Yan, Qiao, et al.
Published: (2025)
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
by: Pandit, Shrey, et al.
Published: (2025)
by: Pandit, Shrey, et al.
Published: (2025)
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
by: Khandekar, Nikhil, et al.
Published: (2024)
by: Khandekar, Nikhil, et al.
Published: (2024)
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models
by: Liu, Mianxin, et al.
Published: (2024)
by: Liu, Mianxin, et al.
Published: (2024)
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)
by: Ding, Meidan, et al.
Published: (2025)
QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models
by: Wu, Yao, et al.
Published: (2026)
by: Wu, Yao, et al.
Published: (2026)
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code
by: Jiang, Nan, et al.
Published: (2024)
by: Jiang, Nan, et al.
Published: (2024)
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)
by: Tang, Xiangru, et al.
Published: (2025)
MedHalu: Hallucinations in Responses to Healthcare Queries by Large Language Models
by: Agarwal, Vibhor, et al.
Published: (2024)
by: Agarwal, Vibhor, et al.
Published: (2024)
MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation
by: Shang, Fangxin, et al.
Published: (2025)
by: Shang, Fangxin, et al.
Published: (2025)
MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks
by: Daoud, Mouath Abu, et al.
Published: (2025)
by: Daoud, Mouath Abu, et al.
Published: (2025)
PerMedCQA: Benchmarking Large Language Models on Medical Consumer Question Answering in Persian Language
by: Jamali, Naghmeh, et al.
Published: (2025)
by: Jamali, Naghmeh, et al.
Published: (2025)
MedGo: A Chinese Medical Large Language Model
by: Zhang, Haitao, et al.
Published: (2024)
by: Zhang, Haitao, et al.
Published: (2024)
MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
by: He, Jiayi, et al.
Published: (2025)
by: He, Jiayi, et al.
Published: (2025)
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
by: Adelani, David Ifeoluwa, et al.
Published: (2024)
by: Adelani, David Ifeoluwa, et al.
Published: (2024)
Lightweight Large Language Model for Medication Enquiry: Med-Pal
by: Elangovan, Kabilan, et al.
Published: (2024)
by: Elangovan, Kabilan, et al.
Published: (2024)
MedCalc-Eval and MedCalc-Env: Advancing Medical Calculation Capabilities of Large Language Models
by: Mao, Kangkun, et al.
Published: (2025)
by: Mao, Kangkun, et al.
Published: (2025)
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
by: Bedi, Suhana, et al.
Published: (2025)
by: Bedi, Suhana, et al.
Published: (2025)
MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors
by: Luo, Xiaotian, et al.
Published: (2026)
by: Luo, Xiaotian, et al.
Published: (2026)
Large Language Model Benchmarks in Medical Tasks
by: Yan, Lawrence K. Q., et al.
Published: (2024)
by: Yan, Lawrence K. Q., et al.
Published: (2024)
OR-Bench: An Over-Refusal Benchmark for Large Language Models
by: Cui, Justin, et al.
Published: (2024)
by: Cui, Justin, et al.
Published: (2024)
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2023)
by: Tang, Xiangru, et al.
Published: (2023)
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
by: Li, Miao, et al.
Published: (2024)
by: Li, Miao, et al.
Published: (2024)
Medical Reasoning with Large Language Models: A Survey and MR-Bench
by: Ren, Xiaohan, et al.
Published: (2026)
by: Ren, Xiaohan, et al.
Published: (2026)
MedHal: An Evaluation Dataset for Medical Hallucination Detection
by: Mehenni, Gaya, et al.
Published: (2025)
by: Mehenni, Gaya, et al.
Published: (2025)
MedMosaic: A Challenging Large Scale Benchmark of Diverse Medical Audio
by: Rajgarhia, Harshit, et al.
Published: (2026)
by: Rajgarhia, Harshit, et al.
Published: (2026)
JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese Large Language Models
by: Liu, Junyu, et al.
Published: (2026)
by: Liu, Junyu, et al.
Published: (2026)
TurkBench: A Benchmark for Evaluating Turkish Large Language Models
by: Toraman, Çağrı, et al.
Published: (2026)
by: Toraman, Çağrı, et al.
Published: (2026)
VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)
by: Yan, Yuchen, et al.
Published: (2025)
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
by: Li, Lijun, et al.
Published: (2024)
by: Li, Lijun, et al.
Published: (2024)
TaskBench: Benchmarking Large Language Models for Task Automation
by: Shen, Yongliang, et al.
Published: (2023)
by: Shen, Yongliang, et al.
Published: (2023)
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
by: Bao, Forrest Sheng, et al.
Published: (2024)
by: Bao, Forrest Sheng, et al.
Published: (2024)
Quantifying Hallucinations in Language Language Models on Medical Textbooks
by: Colelough, Brandon C., et al.
Published: (2026)
by: Colelough, Brandon C., et al.
Published: (2026)
OAEI-LLM: A Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
by: Qiang, Zhangcheng, et al.
Published: (2024)
by: Qiang, Zhangcheng, et al.
Published: (2024)
Benchmark for Assessing Olfactory Perception of Large Language Models
by: Makri, Eftychia, et al.
Published: (2026)
by: Makri, Eftychia, et al.
Published: (2026)
Benchmarking Deflection and Hallucination in Large Vision-Language Models
by: Moratelli, Nicholas, et al.
Published: (2026)
by: Moratelli, Nicholas, et al.
Published: (2026)
Assessing Large Language Models for Structured Medical Order Extraction
by: Karim, A H M Rezaul, et al.
Published: (2025)
by: Karim, A H M Rezaul, et al.
Published: (2025)
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models
by: Chen, Kedi, et al.
Published: (2024)
by: Chen, Kedi, et al.
Published: (2024)
SproutBench: A Benchmark for Safe and Ethical Large Language Models for Youth
by: Xing, Wenpeng, et al.
Published: (2025)
by: Xing, Wenpeng, et al.
Published: (2025)
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning
by: Shi, Wenqi, et al.
Published: (2024)
by: Shi, Wenqi, et al.
Published: (2024)
Similar Items
-
MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models
by: Yan, Qiao, et al.
Published: (2025) -
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
by: Pandit, Shrey, et al.
Published: (2025) -
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
by: Khandekar, Nikhil, et al.
Published: (2024) -
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models
by: Liu, Mianxin, et al.
Published: (2024) -
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)