In recent years, several systems have been developed to regulate the spread of negativity and eliminate aggressive, offensive or abusive contents from the online platforms. Nevertheless, a limited number of researches carried out to identify positive, encouraging and supportive contents. In this work, our goal is to identify whether a social media post/comment contains hope speech or not. We propose three distinct models to identify hope speech in English, Tamil and Malayalam language to serve this purpose. To attain this goal, we employed various machine learning (support vector machine, logistic regression, ensemble), deep learning (convolutional neural network + long short term memory) and transformer (m-BERT, Indic-BERT, XLNet, XLM-Roberta) based methods. Results indicate that XLM-Roberta outdoes all other techniques by gaining a weighted $f_1$-score of $0.93$, $0.60$ and $0.85$ respectively for English, Tamil and Malayalam language. Our team has achieved $1^{st}$, $2^{nd}$ and $1^{st}$ rank in these three tasks respectively.
MILA - Quebec AI Institute（MILA - 魁北克人工智能研究所）；Microsoft（微软公司）；UNC Chapel Hill（北卡罗来纳大学教堂山分校）；North Carolina State University（北卡罗来纳州立大学）；Massachusetts Institute of Technology（麻省理工学院）；Google DeepMind（谷歌DeepMind）
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Center for Language and Cognition, University of Groningen（格罗宁根大学语言与认知中心）；Institute for Logic, Language and Computation, University of Amsterdam（阿姆斯特丹大学逻辑、语言与计算研究所）
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
LMU Munich（慕尼黑大学）；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）；Bosch Center for Artificial Intelligence（博世人工智能中心）；University of Oxford（牛津大学）；CISPA Helmholtz Center for Information Security（CISPA海德堡信息安全中心）
Viveka-Insight: a cross-lingual concept graph and citation-grounded retrieval resource over the complete works of Swami Vivekananda in English and Bengali
Ramakrishna Mission Vivekananda Educational and Research Institute（罗摩克里希那传教会维韦卡南达教育与研究学院）
Interpretable Cross-Lingual Alignment in Small Language Models: Probing Cultural and Pragmatic Reasoning in Japanese-English Bilingual LLMs
Sakaguchi–Inui Laboratory (Tohoku University)（东北大学坂口–乾实验室）；Natural Language Understanding Team at RIKEN AIP（理化学研究所先进智能项目中心自然语言理解团队）；Swallow Project at the Institute of Science Tokyo（东京科学大学Swallow项目）；Sakana AI；Tohoku University（东北大学）；RIKEN AIP（理化学研究所先进智能项目中心）；Institute of Science Tokyo（东京科学大学）
Towards a resource for multilingual lexicons: an MT assisted and human-in-the-loop multilingual parallel corpus with multi-word expression annotation
Leiden University Medical Center（莱顿大学医学中心）；Leiden Institute of Advanced Computer Science (LIACS)（莱顿先进计算机科学研究所）；Leiden University（莱顿大学）；University of Tours（图尔大学）；Arabic Natural Language Processing Research Group（阿拉伯自然语言处理研究组）；University of Sfax（索菲亚大学）；Institute for Natural Language Processing (IMS)（自然语言处理研究所）；University of Stuttgart（斯图加特大学）；ADAPT Research Centre（ADAPT研究中心）；Dublin City University（都柏林城市大学）；Insight Centre for Data Analytics（数据洞察中心）；University of Manchester（曼彻斯特大学）
Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance
Indian Institute of Technology Kharagpur（印度理工学院克勒格布尔分校）；National Institute of Standards and Technology（美国国家标准与技术研究院）；INSAIT（保加利亚索菲亚大学INSAIT研究院）；Sofia University “St. Kliment Ohridski”（圣基里曼·奥赫里德斯基索菲亚大学）
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
Technische Universität Berlin（柏林工业大学）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心（DFKI））；University of Marburg（马尔堡大学）；LMU Munich（慕尼黑大学）；Munich Center for Machine Learning (MCML)（慕尼黑机器学习中心（MCML））；BIFOLD – Berlin Institute for the Foundations of Learning and Data（柏林学习与数据基础研究所（BIFOLD））
BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages
Penn State University（宾夕法尼亚州立大学）；Trinity College Dublin（都柏林圣三一学院）；MIT Lincoln Lab（麻省理工学院林肯实验室）；Visa Research（Visa研究）；Kempelen Institute of Intelligent Technologies（凯普勒智能技术研究所）
