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Classical Chinese Understanding (CCU) holds significant value in preserving and exploration of the outstanding traditional Chinese culture. Recently, researchers have attempted to leverage the potential of Large Language Models (LLMs) for…

Computation and Language · Computer Science 2024-05-31 Jiahuan Cao , Yongxin Shi , Dezhi Peng , Yang Liu , Lianwen Jin

Large language models (LLMs) have showcased remarkable capabilities in understanding and generating language. However, their ability in comprehending ancient languages, particularly ancient Chinese, remains largely unexplored. To bridge…

Computation and Language · Computer Science 2023-10-17 Yixuan Zhang , Haonan Li

As the capabilities of large language models (LLMs) continue to advance, evaluating their performance becomes increasingly crucial and challenging. This paper aims to bridge this gap by introducing CMMLU, a comprehensive Chinese benchmark…

Computation and Language · Computer Science 2024-01-19 Haonan Li , Yixuan Zhang , Fajri Koto , Yifei Yang , Hai Zhao , Yeyun Gong , Nan Duan , Timothy Baldwin

In light of recent breakthroughs in large language models (LLMs) that have revolutionized natural language processing (NLP), there is an urgent need for new benchmarks to keep pace with the fast development of LLMs. In this paper, we…

Computation and Language · Computer Science 2024-05-20 Jie Zhu , Junhui Li , Yalong Wen , Lifan Guo

Large Language Models (LLMs), such as ChatGPT and GPT-4, have dramatically transformed natural language processing research and shown promising strides towards Artificial General Intelligence (AGI). Nonetheless, the high costs associated…

Computation and Language · Computer Science 2024-02-26 Yiming Cui , Ziqing Yang , Xin Yao

We present TMMLU+, a new benchmark designed for Traditional Chinese language understanding. TMMLU+ is a multi-choice question-answering dataset with 66 subjects from elementary to professional level. It is six times larger and boasts a more…

Computation and Language · Computer Science 2024-07-12 Zhi-Rui Tam , Ya-Ting Pai , Yen-Wei Lee , Jun-Da Chen , Wei-Min Chu , Sega Cheng , Hong-Han Shuai

The advent of natural language understanding (NLU) benchmarks for English, such as GLUE and SuperGLUE allows new NLU models to be evaluated across a diverse set of tasks. These comprehensive benchmarks have facilitated a broad range of…

Classical Chinese, as the core carrier of Chinese culture, plays a crucial role in the inheritance and study of ancient literature. However, existing natural language processing models primarily optimize for Modern Chinese, resulting in…

Computation and Language · Computer Science 2025-04-30 Xinyu Yao , Mengdi Wang , Bo Chen , Xiaobing Zhao

In this study, we introduce CT-LLM, a 2B large language model (LLM) that illustrates a pivotal shift towards prioritizing the Chinese language in developing LLMs. Uniquely initiated from scratch, CT-LLM diverges from the conventional…

Large Language Models (LLMs) are increasingly tasked with analyzing legal texts and citing relevant statutes, yet their reliability is often compromised by general pre-training that ingests legal texts without specialized focus, obscuring…

Computation and Language · Computer Science 2025-09-26 Xinzhe Xu , Liang Zhao , Hongshen Xu , Chen Chen

Given the importance of ancient Chinese in capturing the essence of rich historical and cultural heritage, the rapid advancements in Large Language Models (LLMs) necessitate benchmarks that can effectively evaluate their understanding of…

Computation and Language · Computer Science 2024-03-12 Yuting Wei , Yuanxing Xu , Xinru Wei , Simin Yang , Yangfu Zhu , Yuqing Li , Di Liu , Bin Wu

As the capabilities of large multimodal models (LMMs) continue to advance, evaluating the performance of LMMs emerges as an increasing need. Additionally, there is an even larger gap in evaluating the advanced knowledge and reasoning…

Large Language Models (LLMs) have demonstrated remarkable success in diverse natural language processing (NLP) tasks in general domains. However, LLMs sometimes generate responses with the hallucination about medical facts due to limited…

Computation and Language · Computer Science 2025-01-14 Haochun Wang , Sendong Zhao , Zewen Qiang , Zijian Li , Nuwa Xi , Yanrui Du , MuZhen Cai , Haoqiang Guo , Yuhan Chen , Haoming Xu , Bing Qin , Ting Liu

Standard multi-task benchmarks are essential for developing pretraining models that can generalize to various downstream tasks. Existing benchmarks for natural language processing (NLP) usually focus only on understanding or generating…

Computation and Language · Computer Science 2022-01-19 Jian Guan , Zhuoer Feng , Yamei Chen , Ruilin He , Xiaoxi Mao , Changjie Fan , Minlie Huang

Multi-modal large language models(MLLMs) have achieved remarkable progress and demonstrated powerful knowledge comprehension and reasoning abilities. However, the mastery of domain-specific knowledge, which is essential for evaluating the…

Computation and Language · Computer Science 2024-05-09 Zheqi He , Xinya Wu , Pengfei Zhou , Richeng Xuan , Guang Liu , Xi Yang , Qiannan Zhu , Hua Huang

Ancient Chinese text processing presents unique challenges for large language models (LLMs) due to its distinct linguistic features, complex structural constraints, and rich cultural context. While existing benchmarks have primarily focused…

Computation and Language · Computer Science 2025-03-21 Shangqing Zhao , Yuhao Zhou , Yupei Ren , Zhe Chen , Chenghao Jia , Fang Zhe , Zhaogaung Long , Shu Liu , Man Lan

Chinese ancient documents, invaluable carriers of millennia of Chinese history and culture, hold rich knowledge across diverse fields but face challenges in digitization and understanding, i.e., traditional methods only scan images, while…

Chinese literary classics hold significant cultural and educational value, offering deep insights into morality, history, and human nature. These works often include classical Chinese and complex narratives, making them difficult for…

Computation and Language · Computer Science 2025-08-19 Jiali Chen , Xusen Hei , Yuqi Xue , Zihan Wu , Jiayuan Xie , Yi Cai

Chinese, as a linguistic system rich in depth and complexity, is characterized by distinctive elements such as ancient poetry, proverbs, idioms, and other cultural constructs. However, current Large Language Models (LLMs) face limitations…

Computation and Language · Computer Science 2025-06-03 Jizhan Fang , Tianhe Lu , Yunzhi Yao , Ziyan Jiang , Xin Xu , Huajun Chen , Ningyu Zhang

No previous work has studied the performance of Large Language Models (LLMs) in the context of Traditional Chinese Medicine (TCM), an essential and distinct branch of medical knowledge with a rich history. To bridge this gap, we present a…

Computation and Language · Computer Science 2024-03-15 Li Yizhen , Huang Shaohan , Qi Jiaxing , Quan Lei , Han Dongran , Luan Zhongzhi
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