Cover Image

MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Min, Zhou, Shuang, Zhan, Zaifu, Zhang, Rui
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking GPT-5 for biomedical natural language processing
by: Hou, Yu, et al.
Published: (2025)

Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models
by: Zhan, Zaifu, et al.
Published: (2024)

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
by: Zhan, Zaifu, et al.
Published: (2024)

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)

EPEE: Towards Efficient and Effective Foundation Models in Biomedicine
by: Zhan, Zaifu, et al.
Published: (2025)

Retrieval-augmented in-context learning for multimodal large language models in disease classification
by: Zhan, Zaifu, et al.
Published: (2025)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
by: Zhan, Zaifu, et al.
Published: (2026)

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation
by: Zhan, Zaifu, et al.
Published: (2025)

An evaluation of DeepSeek Models in Biomedical Natural Language Processing
by: Zhan, Zaifu, et al.
Published: (2025)

An Underexplored Frontier: Large Language Models for Rare Disease Patient Education and Communication -- A scoping review
by: Zhan, Zaifu, et al.
Published: (2026)

MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
by: Zhang, Ke, et al.
Published: (2025)

LiveMedBench: A Contamination-Free Medical Benchmark for LLMs with Automated Rubric Evaluation
by: Yan, Zhiling, et al.
Published: (2026)

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

RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step
by: Luo, Xiaocheng, et al.
Published: (2026)

Mistake gating leads to energy and memory efficient continual learning
by: Pache, Aaron, et al.
Published: (2026)

MedConsultBench: A Full-Cycle, Fine-Grained, Process-Aware Benchmark for Medical Consultation Agents
by: Qiao, Chuhan, et al.
Published: (2026)

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
by: Jing, Miao, et al.
Published: (2025)

MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors
by: Luo, Xiaotian, et al.
Published: (2026)

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models
by: Zuo, Kaiwen, et al.
Published: (2024)

PRIME: Prototype-Driven Multimodal Pretraining for Cancer Prognosis with Missing Modalities
by: Yu, Kai, et al.
Published: (2026)

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training
by: Zeng, Shuang, et al.
Published: (2025)

MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation
by: Shang, Fangxin, et al.
Published: (2025)

MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models
by: Liu, Mianxin, et al.
Published: (2024)

Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
by: Salmeron, Jose L., et al.
Published: (2024)

PsychCounsel-Bench: Evaluating the Psychology Intelligence of Large Language Models
by: Zeng, Min
Published: (2025)

POLAR-Bench: A Diagnostic Benchmark for Privacy-Utility Trade-offs in LLM Agents
by: Zheng, Qiaoyuan, et al.
Published: (2026)

SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
by: Zhao, Ming, et al.
Published: (2025)

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models
by: Liu, Junqi, et al.
Published: (2026)

QuarkMedBench: A Real-World Scenario Driven Benchmark for Evaluating Large Language Models
by: Wu, Yao, et al.
Published: (2026)

RealMedQA: A pilot biomedical question answering dataset containing realistic clinical questions
by: Kell, Gregory, et al.
Published: (2024)

SWE-Bench-CL: Continual Learning for Coding Agents
by: Joshi, Thomas, et al.
Published: (2025)

Market-Bench: Benchmarking Large Language Models on Economic and Trade Competition
by: Zheng, Yushuo, et al.
Published: (2026)

MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics
by: Lu, Yuxing, et al.
Published: (2025)

MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare
by: Wang, Yihao, et al.
Published: (2026)

GovRelBench:A Benchmark for Government Domain Relevance
by: Wang, Haiquan, et al.
Published: (2025)

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
by: Jiang, Yixing, et al.
Published: (2025)

LIFE -- an energy efficient advanced continual learning agentic AI framework for frontier systems
by: Lee, Anne, et al.
Published: (2026)

Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)

MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
by: Khandekar, Nikhil, et al.
Published: (2024)

FeatureBench: Benchmarking Agentic Coding for Complex Feature Development
by: Zhou, Qixing, et al.
Published: (2026)