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Related papers: Edu-Values: Towards Evaluating the Chinese Educati…

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With the accelerating development of Large Language Models (LLMs), many LLMs are beginning to be used in the Chinese K-12 education domain. The integration of LLMs and education is getting closer and closer, however, there is currently no…

Computation and Language · Computer Science 2024-01-30 Jinchang Hou , Chang Ao , Haihong Wu , Xiangtao Kong , Zhigang Zheng , Daijia Tang , Chengming Li , Xiping Hu , Ruifeng Xu , Shiwen Ni , Min Yang

Large language models (LLMs) demonstrate significant potential for educational applications. However, their unscrutinized deployment poses risks to educational standards, underscoring the need for rigorous evaluation. We introduce EduEval,…

Computation and Language · Computer Science 2025-12-02 Guoqing Ma , Jia Zhu , Hanghui Guo , Weijie Shi , Yue Cui , Jiawei Shen , Zilong Li , Yidan Liang

With the rapid evolution of large language models (LLMs), there is a growing concern that they may pose risks or have negative social impacts. Therefore, evaluation of human values alignment is becoming increasingly important. Previous work…

Computation and Language · Computer Science 2023-07-20 Guohai Xu , Jiayi Liu , Ming Yan , Haotian Xu , Jinghui Si , Zhuoran Zhou , Peng Yi , Xing Gao , Jitao Sang , Rong Zhang , Ji Zhang , Chao Peng , Fei Huang , Jingren Zhou

With the rapid development of large language models (LLMs), various LLM-based works have been widely applied in educational fields. However, most existing LLMs and their benchmarks focus primarily on the knowledge dimension, largely…

Computation and Language · Computer Science 2025-10-31 Min Zhang , Hao Chen , Hao Chen , Wenqi Zhang , Didi Zhu , Xin Lin , Bo Jiang , Aimin Zhou , Fei Wu , Kun Kuang

Large Language Models (LLMs) have demonstrated remarkable capabilities in mathematical problem-solving. However, the transition from providing answers to generating high-quality educational questions presents significant challenges that…

Computation and Language · Computer Science 2025-08-15 Chengliang Zhou , Mei Wang , Ting Zhang , Qiannan Zhu , Jian Li , Hua Huang

New NLP benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present C-Eval, the first comprehensive Chinese evaluation suite designed to assess advanced knowledge and reasoning abilities of…

Computation and Language · Computer Science 2023-11-07 Yuzhen Huang , Yuzhuo Bai , Zhihao Zhu , Junlei Zhang , Jinghan Zhang , Tangjun Su , Junteng Liu , Chuancheng Lv , Yikai Zhang , Jiayi Lei , Yao Fu , Maosong Sun , Junxian He

Online education platforms have significantly transformed the dissemination of educational resources by providing a dynamic and digital infrastructure. With the further enhancement of this transformation, the advent of Large Language Models…

Artificial Intelligence · Computer Science 2024-09-26 Qian-Wen Zhang , Haochen Wang , Fang Li , Siyu An , Lingfeng Qiao , Liangcai Gao , Di Yin , Xing Sun

Ensuring that Large Language Models (LLMs) align with mainstream human values and ethical norms is crucial for the safe and sustainable development of AI. Current value evaluation and alignment are constrained by Western cultural bias and…

Computation and Language · Computer Science 2026-01-05 Ping Wu , Guobin Shen , Dongcheng Zhao , Yuwei Wang , Yiting Dong , Yu Shi , Enmeng Lu , Feifei Zhao , Yi Zeng

The rapid development of Chinese large language models (LLMs) poses big challenges for efficient LLM evaluation. While current initiatives have introduced new benchmarks or evaluation platforms for assessing Chinese LLMs, many of these…

Computation and Language · Computer Science 2024-03-20 Chuang Liu , Linhao Yu , Jiaxuan Li , Renren Jin , Yufei Huang , Ling Shi , Junhui Zhang , Xinmeng Ji , Tingting Cui , Tao Liu , Jinwang Song , Hongying Zan , Sun Li , Deyi Xiong

In the burgeoning field of large language models (LLMs), the assessment of fundamental knowledge remains a critical challenge, particularly for models tailored to Chinese language and culture. This paper introduces FoundaBench, a pioneering…

Computation and Language · Computer Science 2024-04-30 Wei Li , Ren Ma , Jiang Wu , Chenya Gu , Jiahui Peng , Jinyang Len , Songyang Zhang , Hang Yan , Dahua Lin , Conghui He

Large Language Models (LLMs) are poised to transform healthcare under China's Healthy China 2030 initiative, yet they introduce new ethical and patient-safety challenges. We present a novel 12,000-item Q&A benchmark covering 11 ethics and 9…

Computation and Language · Computer Science 2025-05-13 Mouxiao Bian , Rongzhao Zhang , Chao Ding , Xinwei Peng , Jie Xu

Recent NLP tasks have benefited a lot from pre-trained language models (LM) since they are able to encode knowledge of various aspects. However, current LM evaluations focus on downstream performance, hence lack to comprehensively inspect…

Computation and Language · Computer Science 2020-12-01 Zhiruo Wang , Renfen Hu

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

Chinese essay writing and its evaluation are critical in educational contexts, yet the capabilities of Large Language Models (LLMs) in this domain remain largely underexplored. Existing benchmarks often rely on coarse-grained text quality…

Computation and Language · Computer Science 2025-06-04 Fan Gao , Dongyuan Li , Ding Xia , Fei Mi , Yasheng Wang , Lifeng Shang , Baojun Wang

Purpose: The rapid emergence of large language models (LLMs) such as ChatGPT has significantly impacted foreign language education, yet their pedagogical grammar competence remains under-assessed. This paper introduces CPG-EVAL, the first…

Computation and Language · Computer Science 2025-04-21 Dong Wang

Immense effort has been dedicated to minimizing the presence of harmful or biased generative content and better aligning AI output to human intention; however, research investigating the cultural values of LLMs is still in very early…

Computation and Language · Computer Science 2024-11-12 Elise Karinshak , Amanda Hu , Kewen Kong , Vishwanatha Rao , Jingren Wang , Jindong Wang , Yi Zeng

The widespread adoption of large language models (LLMs) across various regions underscores the urgent need to evaluate their alignment with human values. Current benchmarks, however, fall short of effectively uncovering safety…

Computation and Language · Computer Science 2024-05-31 Kexin Huang , Xiangyang Liu , Qianyu Guo , Tianxiang Sun , Jiawei Sun , Yaru Wang , Zeyang Zhou , Yixu Wang , Yan Teng , Xipeng Qiu , Yingchun Wang , Dahua Lin

As large language models increasingly mediate access to information and facilitate decision-making, they are becoming instruments in soft power competitions between global actors such as the United States and China. So far, language models…

Computers and Society · Computer Science 2025-12-17 David Haslett , Linus Ta-Lun Huang , Leila Khalatbari , Janet Hui-wen Hsiao , Antoni B. Chan

With the continuous emergence of Chinese Large Language Models (LLMs), how to evaluate a model's capabilities has become an increasingly significant issue. The absence of a comprehensive Chinese benchmark that thoroughly assesses a model's…

Computation and Language · Computer Science 2023-10-17 Yanyang Li , Jianqiao Zhao , Duo Zheng , Zi-Yuan Hu , Zhi Chen , Xiaohui Su , Yongfeng Huang , Shijia Huang , Dahua Lin , Michael R. Lyu , Liwei Wang

As Large Language Models (LLMs) increasingly influence high-stakes decision-making across global contexts, ensuring their alignment with diverse cultural values has become a critical governance challenge. This study presents a Multi-Layered…

Computers and Society · Computer Science 2025-11-24 Haijiang Liu , Jinguang Gu , Xun Wu , Daniel Hershcovich , Qiaoling Xiao
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