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- Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning249
A comprehensive data curation procedure that efficiently acquires rich medical knowledge data not only from medical imaging but also from extensive medical texts and general-domain data and synthesizes accurate medical captions, visual question answering (VQA), and reasoning samples is proposed.
- GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems47
A novel data curation method is introduced that generates GlobalWoZ — a large-scale multilingual ToD datasets globalized from an English ToD dataset for three unexplored use cases of mult bilingual ToD systems.
- Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers22
Babel is introduced, an open multilingual LLM that covers the top 25 languages by number of speakers, supports over 90% of the global population, and includes many languages neglected by other open multilingual LLMs and sets a new standard for open multilingual LLMs.
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- Lingshu: Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning17
This work proposes a comprehensive data-curation procedure that efficiently acquires rich medical knowledge data not only from medical imaging but also from extensive medical texts and general domain data and develops a medical-specialized MLLM, Lingshu-Med, which consistently outperforms existing multimodal baselines in most tasks.
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- SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages13
- SeaLLMs-Audio: Large Audio-Language Models for Southeast Asia13
The first large audio-language model (LALM) tailored for multiple Southeast Asian languages-Indonesian, Thai, Vietnamese, English, and Chinese-alongside English and Chinese is introduced, showing that SeaLLMs-Audio achieves competitive performance compared with other LALMs on SEA languages.
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- A Grapheme to Phoneme Converter for Standard Malay3
This paper describes the process of creating a grapheme-to-phoneme (G2P) converter for Standard Malay, and discusses the key areas in SM that require considerable phonemic alterations including letter elisions, consonant insertions, multiple ways of uttering a letter/diagraph.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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