Papers by Jose G Moreno
Let’s Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models’ Understanding of Sports (2025.emnlp-main)
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Punit Kumar Singh, Nishant Kumar, Akash Ghosh, Kunal Pasad, Khushi Soni, Manisha Jaishwal, Sriparna Saha, Syukron Abu Ishaq Alfarozi, Asres Temam Abagissa, Kitsuchart Pasupa, Haiqin Yang, Jose G Moreno
| Challenge: | Language Models (LMs) are primarily evaluated on globally popular sports, often overlooking regional and indigenous sporting traditions. |
| Approach: | They propose to use multiple-choice questions (MCQs) to assess LMs' understanding of traditional sports across 60 countries and 6 continents. |
| Outcome: | The new benchmark will be publicly available, fostering research in culturally aware AI systems. |
From Atomic to Complex tasks: Cross-Tasking Improves Zero-Shot Argument Generation and Retrieval (2026.findings-acl)
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| Challenge: | Argument retrieval and argument generation (AR) have attracted significant attention in recent years . argllms are a powerful tool for analyzing argument quality and extracting argument units . |
| Approach: | They propose that argument generation and argument retrieval could leverage cross-tasking atomic argument mining and argument quality assessment tasks even if there is no supervision. |
| Outcome: | The proposed framework outperforms base models in argument generation and retrieval tasks even without supervision. |
COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation (2025.acl-long)
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Raghvendra Kumar, Mohammed Salman S A, Aryan Sahu, Tridib Nandi, Pragathi Y P, Sriparna Saha, Jose G Moreno
| Challenge: | COSMMIC is a multimodal, multilingual dataset featuring nine major Indian languages. |
| Approach: | They propose a multimodal, multilingual multimodal multimodal dataset that integrates text, images and user feedback to enhance summarization. |
| Outcome: | The proposed dataset is based on 4,959 article-image pairs and 24,484 reader comments with ground-truth summaries available in all included languages. |