Dong Ho Lee Nick Lee 이동호 Github Dong ho lee is a phd in ai from usc, specializing in language models, personalization, and socially intelligent systems. currently at microsoft ai. View dong ho lee’s profile on linkedin, a professional community of 1 billion members.
Dong Ho Lee Center For Autonomy Datafirst is a recurring, semester long event at usc where students from different backgrounds and programs get hands on experience in real projects involving data science. Dong ho lee member of technical staff, microsoft ai verified email at microsoft homepage natural language processing machine learning. Dong ho lee is currently pursuing the ph.d. degree in computer science specializing in natural language processing (nlp) and ml with the information sciences institute (isi), university of southern california (usc), under the supervision of prof. jay pujara. Contributors: cho, y.; kim, h. i.; kim, y. r.; yoo, s. k.; kim, b. h.; lee, d. h.
Lee Dong Ho Korean Actor Artist Koreandrama Org Dong ho lee is currently pursuing the ph.d. degree in computer science specializing in natural language processing (nlp) and ml with the information sciences institute (isi), university of southern california (usc), under the supervision of prof. jay pujara. Contributors: cho, y.; kim, h. i.; kim, y. r.; yoo, s. k.; kim, b. h.; lee, d. h. Dong ho lee, hyundong cho, jonathan may, jay pujara. arxiv preprint arxiv:2502.17383, 2025. dong ho lee, adyasha maharana, jay pujara, xiang ren, francesco barbieri. arxiv preprint arxiv:2502.13270, 2025. dong ho lee. university of southern california, 2025. Semantic scholar profile for dong ho lee, with 39 highly influential citations and 14 scientific research papers. Dong ho lee, hwanchol jang, sang hwan kim and woohyuk chang. (2020). multi uav mission allocation and optimization technique based on discrete event modeling and simulation. We comprehensively evaluate our proposed method on diverse datasets for automatic diagnosis tasks requiring extensive domain knowledge and advanced reasoning. instruction tuning has remarkably advanced large language models (llms) in understanding and responding to diverse human instructions.
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