In this paper we present the multilingual language model BLOOM-zh that features enhanced support for Traditional Chinese. BLOOM-zh has its origins in the open-source BLOOM models presented by BigScience in 2022. Starting from released models, we extended the pre-training of BLOOM by additional 7.4 billion tokens in Traditional Chinese and English covering a variety of domains such as news articles, books, encyclopedias, educational materials as well as spoken language. In order to show the properties of BLOOM-zh, both existing and newly created benchmark scenarios are used for evaluating the performance. BLOOM-zh outperforms its predecessor on most Traditional Chinese benchmarks while maintaining its English capability. We release all our models to the research community.
PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages
Technical University of Munich（慕尼黑技术大学）；Munich Center for Machine Learning（慕尼黑机器学习中心）；Munich Data Science Institute（慕尼黑数据科学研究所）；Applied AI Institute（应用人工智能研究所）；Charles University（查尔斯大学）；Nazarbayev University（纳扎尔拜大学）；Inria（法国国家信息与自动化研究所）；Indian Institute of Technology, Kharagpur (IIT Kharagpur)（印度Kharagpur理工学院）；German University of Digital Science（德国数字科学大学）
OCNLI: Original Chinese Natural Language Inference
Indiana University, Bloomington（印第安纳大学伯明顿分校）；Allen Institute for Artificial Intelligence, Seattle（艾伦人工智能研究所）；Chinese Language Understanding Evaluation (CLUE) benchmark（中文语言理解评估(CLUE)基准测试（注：CLUE作为一个基准测试，严格来说不属于机构，但根据提取范围，此处明确出现作者单位，按要求提取））
BigTranslate: Augmenting Large Language Models with Multilingual Translation Capability over 100 Languages
Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院）；Wuhan AI Research（武汉人工智能研究院）
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
Brown University（布朗大学）；UC Berkeley（加州大学伯克利分校）；University of California, Los Angeles（加州大学洛杉矶分校）；HKUST（香港科技大学）；Bloomberg（彭博）；EleutherAI；Samsung R&D Institute Philippines（三星菲律宾研发中心）；Stanford University（斯坦福大学）；National University of Singapore（新加坡国立大学）；VietAI Research（VietAI研究院）；University of Potsdam（波茨坦大学）；MBZUAI（穆罕默德·本·扎耶德人工智能大学）
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models
Singapore Management University（新加坡管理大学）；Fudan University（复旦大学）；Tsinghua University（清华大学）；Beijing Institute of Technology（北京理工大学）；University of Science and Technology of China（中国科学技术大学）；University of Georgia（佐治亚大学）；Skywork AI（天工智芯（Skywork AI））
HKCanto-Eval: A Benchmark for Evaluating Cantonese Language Understanding and Cultural Comprehension in LLMs
Kyushu University（九州大学）；hon9kon9ize；The Education University of Hong Kong（香港教育大学）；The University of Hong Kong（香港大学）；Independent Researcher（独立研究者）；Votee AI；Beever AI
