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相关论文: MediaGPT : A Large Language Model For Chinese Medi…

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Recently, the increasing demand for superior medical services has highlighted the discrepancies in the medical infrastructure. With big data, especially texts, forming the foundation of medical services, there is an exigent need for…

计算与语言 · 计算机科学 2024-07-17 Yuanhe Tian , Ruyi Gan , Yan Song , Jiaxing Zhang , Yongdong Zhang

Large language models (LLMs), including both proprietary and open-source models, have showcased remarkable capabilities in addressing a wide range of downstream tasks. Nonetheless, when it comes to practical Chinese legal tasks, these…

计算与语言 · 计算机科学 2024-06-10 Zhi Zhou , Jiang-Xin Shi , Peng-Xiao Song , Xiao-Wen Yang , Yi-Xuan Jin , Lan-Zhe Guo , Yu-Feng Li

Developing intelligent pediatric consultation systems offers promising prospects for improving diagnostic efficiency, especially in China, where healthcare resources are scarce. Despite recent advances in Large Language Models (LLMs) for…

Large Language Models (LLMs) have demonstrated exceptional capabilities across various natural language processing tasks. Yet, many of these advanced LLMs are tailored for broad, general-purpose applications. In this technical report, we…

Recent advances in large language models (LLMs) have led to substantial progress in domain-specific applications, particularly within the legal domain. However, general-purpose models such as GPT-4 often struggle with specialized subdomains…

人工智能 · 计算机科学 2026-01-16 Zixun Lan , Maochun Xu , Yifan Ren , Rui Wu , Jianghui Zhou , Xueyang Cheng , Jianan Ding Ding , Xinheng Wang , Mingmin Chi , Fei Ma

Large Language Models (LLMs), like LLaMA, have exhibited remarkable performance across various tasks. Nevertheless, when deployed to specific domains such as law or medicine, the models still confront the challenge of a deficiency in…

计算与语言 · 计算机科学 2023-10-17 Quzhe Huang , Mingxu Tao , Chen Zhang , Zhenwei An , Cong Jiang , Zhibin Chen , Zirui Wu , Yansong Feng

The rapid growth of large language models(LLMs) has emerged as a prominent trend in the field of artificial intelligence. However, current state-of-the-art LLMs are predominantly based on English. They encounter limitations when directly…

计算与语言 · 计算机科学 2024-06-28 Wenjing Zhang , Siqi Xiao , Xuejiao Lei , Ning Wang , Huazheng Zhang , Meijuan An , Bikun Yang , Zhaoxiang Liu , Kai Wang , Shiguo Lian

Recent advancements of generative LLMs (Large Language Models) have exhibited human-like language capabilities but have shown a lack of domain-specific understanding. Therefore, the research community has started the development of…

计算与语言 · 计算机科学 2024-12-03 Kurukulasooriya Fernando ana Gianluca Demartini

While large language models (LLMs) have showcased impressive capabilities, they struggle with addressing legal queries due to the intricate complexities and specialized expertise required in the legal field. In this paper, we introduce…

The rapid progress in Large Language Models (LLMs) has prompted the creation of numerous benchmarks to evaluate their capabilities.This study focuses on the Comprehensive Medical Benchmark in Chinese (CMB), showcasing how dataset diversity…

计算与语言 · 计算机科学 2024-10-01 Jingwei Zhu , Minghuan Tan , Min Yang , Ruixue Li , Hamid Alinejad-Rokny

The success of ChatGPT validates the potential of large language models (LLMs) in artificial general intelligence (AGI). Subsequently, the release of LLMs has sparked the open-source community's interest in instruction-tuning, which is…

计算与语言 · 计算机科学 2023-10-23 Qingyi Si , Tong Wang , Zheng Lin , Xu Zhang , Yanan Cao , Weiping Wang

Large Language Models (LLMs) have demonstrated remarkable success as general-purpose task solvers across various fields. However, their capabilities remain limited when addressing domain-specific problems, particularly in downstream NLP…

The recent progress of large language models (LLMs), including ChatGPT and GPT-4, in comprehending and responding to human instructions has been remarkable. Nevertheless, these models typically perform better in English and have not been…

计算与语言 · 计算机科学 2023-04-18 Honglin Xiong , Sheng Wang , Yitao Zhu , Zihao Zhao , Yuxiao Liu , Linlin Huang , Qian Wang , Dinggang Shen

Generative large language models (LLMs) have shown great success in various applications, including question-answering (QA) and dialogue systems. However, in specialized domains like traditional Chinese medical QA, these models may perform…

计算与语言 · 计算机科学 2023-09-06 Yang Tan , Mingchen Li , Zijie Huang , Huiqun Yu , Guisheng Fan

Many studies have demonstrated that large language models (LLMs) can produce harmful responses, exposing users to unexpected risks when LLMs are deployed. Previous studies have proposed comprehensive taxonomies of the risks posed by LLMs,…

计算与语言 · 计算机科学 2024-08-06 Yuxia Wang , Zenan Zhai , Haonan Li , Xudong Han , Lizhi Lin , Zhenxuan Zhang , Jingru Zhao , Preslav Nakov , Timothy Baldwin

Recently, the development and progress of Large Language Models (LLMs) have amazed the entire Artificial Intelligence community. Benefiting from their emergent abilities, LLMs have attracted more and more researchers to study their…

计算与语言 · 计算机科学 2024-10-28 Yinghui Li , Haojing Huang , Shirong Ma , Yong Jiang , Yangning Li , Feng Zhou , Hai-Tao Zheng , Qingyu Zhou

Large language models (LLMs) have shown great potential in domain-specific machine translation (MT). However, one major issue is that LLMs pre-trained on general domain corpus might not generalize well to specific domains due to the lack of…

计算与语言 · 计算机科学 2024-12-18 Jiawei Zheng , Hanghai Hong , Feiyan Liu , Xiaoli Wang , Jingsong Su , Yonggui Liang , Shikai Wu

Large language models (LLMs), such as ChatGPT/GPT-4, have proven to be powerful tools in promoting the user experience as an AI assistant. The continuous works are proposing multi-modal large language models (MLLM), empowering LLMs with the…

计算与语言 · 计算机科学 2023-10-23 Ziqiang Zheng , Jipeng Zhang , Tuan-Anh Vu , Shizhe Diao , Yue Him Wong Tim , Sai-Kit Yeung

Large language models (LLMs) have significantly advanced the field of natural language processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of applications. However, directly applying LLMs to solve…

Recent years have witnessed the rapid development of large language models (LLMs) in various domains. To better serve the large number of Chinese users, many commercial vendors in China have adopted localization strategies, training and…

计算与语言 · 计算机科学 2024-02-06 Zongjie Li , Wenying Qiu , Pingchuan Ma , Yichen Li , You Li , Sijia He , Baozheng Jiang , Shuai Wang , Weixi Gu
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