Cover Image

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhan, Zaifu, Zhou, Shuang, Zeng, Min, Yu, Kai, Song, Meijia, Chen, Xiaoyi, Wang, Jun, Hou, Yu, Zhang, Rui
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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)

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

EpiScreen: Early Epilepsy Detection from Electronic Health Records with Large Language Models
by: Zhou, Shuang, et al.
Published: (2026)

Data-Efficient Biomedical In-Context Learning: A Diversity-Enhanced Submodular Perspective
by: Wang, Jun, et al.
Published: (2025)

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

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

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

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

Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness
by: Li, Mingchen, et al.
Published: (2024)

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study
by: Zhan, Zaifu, et al.
Published: (2026)

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models
by: Zhou, Shuang, et al.
Published: (2025)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)

Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis
by: Zhou, Shuang, et al.
Published: (2025)

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
by: Qi, Biqing, et al.
Published: (2024)

Evaluating Large Language Models for Radiology Natural Language Processing
by: Liu, Zhengliang, et al.
Published: (2023)

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

Evaluating and Steering Modality Preferences in Multimodal Large Language Model
by: Zhang, Yu, et al.
Published: (2025)

Evaluating Quantized Large Language Models
by: Li, Shiyao, et al.
Published: (2024)

A Natural Language Processing Approach to Support Biomedical Data Harmonization: Leveraging Large Language Models
by: Li, Zexu, et al.
Published: (2024)

MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning
by: Zeng, Min, et al.
Published: (2026)

Multilingual Brain Surgeon: Large Language Models Can be Compressed Leaving No Language Behind
by: Zeng, Hongchuan, et al.
Published: (2024)

HeartAgent: An Autonomous Agent System for Explainable Differential Diagnosis in Cardiology
by: Zhou, Shuang, et al.
Published: (2026)

Evaluating Large Language Models at Evaluating Instruction Following
by: Zeng, Zhiyuan, et al.
Published: (2023)

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine
by: Yang, Rui, et al.
Published: (2025)

Evaluating Large Language Models as Expert Annotators
by: Tseng, Yu-Min, et al.
Published: (2025)

Large Language Models as Evaluators for Recommendation Explanations
by: Zhang, Xiaoyu, et al.
Published: (2024)

LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
by: Zeng, Binrui, et al.
Published: (2024)

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

A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks
by: Jahan, Israt, et al.
Published: (2023)

High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models
by: Zhou, Songchi, et al.
Published: (2023)

Biomedical Nested NER with Large Language Model and UMLS Heuristics
by: Zhou, Wenxin
Published: (2024)

Improving Natural Language Capability of Code Large Language Model
by: Li, Wei, et al.
Published: (2024)

Large Language Models for Disease Diagnosis: A Scoping Review
by: Zhou, Shuang, et al.
Published: (2024)

On the Compressibility of Quantized Large Language Models
by: Mao, Yu, et al.
Published: (2024)

Converging to a Lingua Franca: Evolution of Linguistic Regions and Semantics Alignment in Multilingual Large Language Models
by: Zeng, Hongchuan, et al.
Published: (2024)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
by: Xu, Jian, et al.
Published: (2025)

HealthContradict: Evaluating Biomedical Knowledge Conflicts in Language Models
by: Zhang, Boya, et al.
Published: (2025)

Evaluating Proactive Risk Awareness of Large Language Models
by: Luo, Xuan, et al.
Published: (2026)

Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025)