Cover Image

Technical Report: Small Language Model for Japanese Clinical and Medicine

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Watanabe, Shogo
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PLaMo 2 Technical Report
by: Networks, Preferred, et al.
Published: (2025)

Domain-Adapted Small Language Models for Reliable Clinical Triage
by: Aljohani, Manar, et al.
Published: (2026)

Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2026)

PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency
by: Elements, Preferred, et al.
Published: (2024)

Model Medicine: A Clinical Framework for Understanding, Diagnosing, and Treating AI Models
by: Jeong, Jihoon
Published: (2026)

Yi-Lightning Technical Report
by: Wake, Alan, et al.
Published: (2024)

Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
by: Gambardella, Andrew, et al.
Published: (2025)

The Zamba2 Suite: Technical Report
by: Glorioso, Paolo, et al.
Published: (2024)

Trillion 7B Technical Report
by: Han, Sungjun, et al.
Published: (2025)

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
by: Microsoft, et al.
Published: (2025)

Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale
by: Hammoud, Hasan Abed Al Kader, et al.
Published: (2025)

Nemotron-4 15B Technical Report
by: Parmar, Jupinder, et al.
Published: (2024)

Nemotron-4 340B Technical Report
by: Nvidia, et al.
Published: (2024)

Skywork Open Reasoner 1 Technical Report
by: He, Jujie, et al.
Published: (2025)

EuroLLM-22B: Technical Report
by: Ramos, Miguel Moura, et al.
Published: (2026)

EuroLLM-9B: Technical Report
by: Martins, Pedro Henrique, et al.
Published: (2025)

Stacking Small Language Models for Generalizability
by: Liang, Laurence
Published: (2024)

All Language Models Large and Small
by: Chen, Zhixun, et al.
Published: (2024)

Kakugo: Distillation of Low-Resource Languages into Small Language Models
by: Devine, Peter, et al.
Published: (2026)

Small Language Models: Survey, Measurements, and Insights
by: Lu, Zhenyan, et al.
Published: (2024)

Squat: Quant Small Language Models on the Edge
by: Shen, Xuan, et al.
Published: (2024)

Towards Reasoning Ability of Small Language Models
by: Srivastava, Gaurav, et al.
Published: (2025)

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
by: Sinha, Neelabh, et al.
Published: (2024)

H2OVL-Mississippi Vision Language Models Technical Report
by: Galib, Shaikat, et al.
Published: (2024)

PCMind-2.1-Kaiyuan-2B Technical Report
by: Luo, Kairong, et al.
Published: (2025)

Bielik v3 Small: Technical Report
by: Ociepa, Krzysztof, et al.
Published: (2025)

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
by: Yang, An, et al.
Published: (2024)

Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge
by: Hostetter, Haley, et al.
Published: (2024)

Fox-1: Open Small Language Model for Cloud and Edge
by: Hu, Zijian, et al.
Published: (2024)

Hymba: A Hybrid-head Architecture for Small Language Models
by: Dong, Xin, et al.
Published: (2024)

Small Language Models for Application Interactions: A Case Study
by: Li, Beibin, et al.
Published: (2024)

CPLLM: Clinical Prediction with Large Language Models
by: Shoham, Ofir Ben, et al.
Published: (2023)

Multilinguality of Large Language Models From a Structural Perspective
by: Sakajo, Haruki, et al.
Published: (2026)

Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
by: Zhou, Zhanhui, et al.
Published: (2024)

PARAMANU-GANITA: Can Small Math Language Models Rival with Large Language Models on Mathematical Reasoning?
by: Niyogi, Mitodru, et al.
Published: (2024)

mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans
by: Sakai, Yusuke, et al.
Published: (2024)

Leveraging Group Relative Policy Optimization to Advance Large Language Models in Traditional Chinese Medicine
by: Xie, Jiacheng, et al.
Published: (2025)

Litespark Technical Report: High-Throughput, Energy-Efficient LLM Training Framework
by: Dade, Nii Osae Osae, et al.
Published: (2025)

SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
by: Yang, Yu, et al.
Published: (2024)

A Post-Training Enhanced Optimization Approach for Small Language Models
by: Zhai, Keke
Published: (2024)