Previous work on augmenting large multimodal models (LMMs) for text-to-image (T2I) generation has focused on enriching the input space of in-context learning (ICL). This includes providing a few demonstrations and optimizing image descriptions to be more detailed and logical. However, as demand for more complex and flexible image descriptions grows, enhancing comprehension of input text within the ICL paradigm remains a critical yet underexplored area. In this work, we extend this line of research by constructing parallel multilingual prompts aimed at harnessing the multilingual capabilities of LMMs. More specifically, we translate the input text into several languages and provide the models with both the original text and the translations. Experiments on two LMMs across 3 benchmarks show that our method, PMT2I, achieves superior performance in general, compositional, and fine-grained assessments, especially in human preference alignment. Additionally, with its advantage of generating more diverse images, PMT2I significantly outperforms baseline prompts when incorporated with reranking methods. Our code and parallel multilingual data can be found at https://github.com/takagi97/PMT2I.
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
Center for Information and Language Processing (CIS)（信息与语言处理中心）；Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心）；ScaDS.AI and TU Dresden（ScaDS.AI 和 梅克伦堡-前波美拉尼亚技术大学）；Department of Statistics, LMU Munich（统计学系，慕尼黑大学）；University of Maryland, College Park（马里兰大学 College Park 分校）
No One Fits All: From Fixed Prompting to Learned Routing in Multilingual LLMs
Department of Computer Science and Information Engineering, National Taiwan University, Taiwan（国立台湾大学计算机科学与资讯工程学系）；Institute of Information Science, Academia Sinica, Taiwan（台湾“中央研究院”信息科学研究所）；AI Research Center (AINTU), National Taiwan University, Taiwan（国立台湾大学人工智能研究中心）
Simple LLM Prompting is State-of-the-Art for Robust and Multilingual Dialogue Evaluation
INESC-ID；Instituto Superior Técnico, University of Lisbon（里斯本大学高等技术学院）；Faculdade de Letras, University of Lisbon（里斯本大学文学院）；Carnegie Mellon University（卡内基梅隆大学）；Phrase（Phrase公司）
SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models
Key Laboratory of Big Data & Artificial Intelligence in Transportation (Beijing Jiaotong University), Ministry of Education（大数据与人工智能交通 key laboratory（北京交通大学））；School of Computer Science and Technology, Beijing Jiaotong University（计算机科学与技术学院（北京交通大学））；University of Montreal（蒙特利尔大学）
AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization
Institute of Informatics, Federal University of Goiás, Brazil（信息学院，戈亚斯联邦大学，巴西）；Advanced Knowledge Center in Immersive Technology (AKCIT), Federal University of Goiás, Brazil（沉浸式技术高级知识中心（AKCIT），戈亚斯联邦大学，巴西）
Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual Environments
School of Information Science and Technology, VISTEC（信息科学与技术学院，VISTEC）；KAIST（韩国科学技术院）；Cohere；SCB 10X；AI Singapore（AI新加坡）；Department of Computer Engineering, Chulalongkorn University（朱拉隆梭大学计算机工程系）
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）
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
Nanyang Technological University（南洋理工大学）；DAMO Academy, Alibaba Group（阿里达摩院）；Hupan Lab（虎斑实验室）；National University of Singapore（新加坡国立大学）；Shanda AI Research Institute（沙达AI研究院）
MMATH: A Multilingual Benchmark for Mathematical Reasoning
Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学首都人工智能学院）；iFLYTEK Research (Central China), iFLYTEK Co., Ltd.（iFLYTEK中央研究院、iFLYTEK有限公司）
Lost in Reordering: Structural Sensitivity of Multilingual LLMs under Semantics-Preserving Perturbations
Indian Institute of Technology Bombay（印度理工学院孟买分校）；Indian Institute of Technology Mandi（印度理工学院曼迪分校）；Indian Institute of Technology Hyderabad（印度理工学院海得拉巴分校）
Deconstructing Stereotypes: Scope-Conditioned Generation for Effective Multilingual Counterspeech
Université Côte d’Azur（蔚蓝海岸大学）；CNRS（法国国家科学研究中心）；INRIA（法国国家信息与自动化研究所）；I3S（I3S实验室）；PRHLT Research Center, Universitat Politècnica de València（瓦伦西亚理工大学PRHLT研究中心）；ValgrAI Valencian Graduate School and Research Network of Artificial Intelligence（ValgrAI瓦伦西亚人工智能研究生院与研究网络）
MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
The Chinese University of Hong Kong（香港中文大学）；The University of Hong Kong（香港大学）；Singapore University of Technology and Design（新加坡科技设计大学）；MoE Key Laboratory of High Confidence Software Technologies（高可信软件技术MoE重点实验室）
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models
Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Electronic Science and Engineering (School of Microelectronics)（广东量子工程与材料重点实验室，电子科学与工程学院（微电子学院））；South China Normal University（华南师范大学）；Guangdong Provincial Key Laboratory of Intelligent Information Processing（广东智能信息处理重点实验室）；Ludwig Maximilian University of Munich（慕尼黑路德维希-马克西米利安大学）；Munich Center for Machine Learning（慕尼黑机器学习中心）；Technical University of Munich（慕尼黑技术大学）
