Copertina

Towards Training A Chinese Large Language Model for Anesthesiology

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Zhonghai, Jiang, Jie, Zhan, Yibing, Zhou, Bohao, Li, Yanhong, Zhang, Chong, Ding, Liang, Jin, Hua, Peng, Jun, Lin, Xu, Liu, Weifeng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs
di: Feng, Xiang, et al.
Pubblicazione: (2025)

SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
di: Zhao, Kun, et al.
Pubblicazione: (2024)

Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation
di: Ren, Zhiyao, et al.
Pubblicazione: (2026)

Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning
di: Zan, Changtong, et al.
Pubblicazione: (2024)

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
di: Zhao, Kun, et al.
Pubblicazione: (2025)

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
di: Ho, Zheng Yi, et al.
Pubblicazione: (2024)

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation
di: Ren, Zhiyao, et al.
Pubblicazione: (2024)

Re-Initialization Token Learning for Tool-Augmented Large Language Models
di: Li, Chenghao, et al.
Pubblicazione: (2025)

Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching
di: Ding, Yuyang, et al.
Pubblicazione: (2024)

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models
di: Cao, Jiahuan, et al.
Pubblicazione: (2024)

CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model
di: Lei, Yang, et al.
Pubblicazione: (2023)

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
di: Zhou, Peilin, et al.
Pubblicazione: (2025)

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
di: Xia, Tianle, et al.
Pubblicazione: (2024)

Chinese Metaphor Recognition Using a Multi-stage Prompting Large Language Model
di: Wang, Jie, et al.
Pubblicazione: (2024)

Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
di: Zhang, Yanfang, et al.
Pubblicazione: (2024)

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
di: Zhou, Zhi, et al.
Pubblicazione: (2024)

On the (In)Effectiveness of Large Language Models for Chinese Text Correction
di: Li, Yinghui, et al.
Pubblicazione: (2023)

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model
di: Li, Jiangtong, et al.
Pubblicazione: (2025)

Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
di: Yang, Bohao, et al.
Pubblicazione: (2024)

Cool-Fusion: Fuse Large Language Models without Training
di: Liu, Cong, et al.
Pubblicazione: (2024)

FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning
di: Yan, Guochen, et al.
Pubblicazione: (2025)

Theory of Mind in Large Language Models: Assessment and Enhancement
di: Chen, Ruirui, et al.
Pubblicazione: (2025)

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought
di: Tan, Wentao, et al.
Pubblicazione: (2025)

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
di: Lv, Xingtai, et al.
Pubblicazione: (2024)

From Implicit to Explicit: Enhancing Self-Recognition in Large Language Models
di: Zhou, Yinghan, et al.
Pubblicazione: (2025)

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
di: Xu, Shicheng, et al.
Pubblicazione: (2024)

TianHui: A Domain-Specific Large Language Model for Diverse Traditional Chinese Medicine Scenarios
di: Yin, Ji, et al.
Pubblicazione: (2025)

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
di: Ding, Xuanwen, et al.
Pubblicazione: (2024)

Advantageous Parameter Expansion Training Makes Better Large Language Models
di: Gu, Naibin, et al.
Pubblicazione: (2025)

C$^{3}$Bench: A Comprehensive Classical Chinese Understanding Benchmark for Large Language Models
di: Cao, Jiahuan, et al.
Pubblicazione: (2024)

Small Language Models as Effective Guides for Large Language Models in Chinese Relation Extraction
di: Tang, Xuemei, et al.
Pubblicazione: (2024)

CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis
di: Xu, Xinzhe, et al.
Pubblicazione: (2025)

Towards a Unified View of Large Language Model Post-Training
di: Lv, Xingtai, et al.
Pubblicazione: (2025)

Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
di: Yuan, Lin, et al.
Pubblicazione: (2025)

A Human-Centric Pipeline for Aligning Large Language Models with Chinese Medical Ethics
di: Jin, Haoan, et al.
Pubblicazione: (2026)

Chinese Society of Pediatric Anesthesiology Guideline for Pediatric Sedation (2025)
di: Xingrong Song, et al.
Pubblicazione: (2026)

MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
di: Jiang, Mohan, et al.
Pubblicazione: (2025)

FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
di: Li, Wei, et al.
Pubblicazione: (2024)

WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations
di: Deng, Haolin, et al.
Pubblicazione: (2024)

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
di: Du, Xinrun, et al.
Pubblicazione: (2024)