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manuscripts to publish at the top-tier venues Stay abreast of the cutting-edge developments in AI research--particularly pertaining Large language models Multimodality Model alignment and safety Diffusion and
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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foundation models for general manipulation based on vision-language-action models Develop learning from human demonstration (LfD) framework for vision-language-action models Develop multi-embodiment
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, linguistics, philosophy, art history, literary studies, and art, design and media. The NTU CoHASS Early Career Research Fellowships aims to nurture promising young researchers within the humanities, arts, and
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having
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Singapore. The candidate will work closely with the Principal Investigator to conduct qualitative and quantitative research related to the role of large language models in fostering critical thinking among
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, linguistics, philosophy, art history, literary studies, and art, design and media. The NTU CoHASS Early Career Research Fellowships aims to nurture promising young researchers within the humanities, arts, and
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. We are looking for a Research Fellow to advance cutting-edge research in multi-agent systems for large language models (LLMs). The role will focus on conducting innovative research in multi-agent
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language models (LLMs), vision-language models (VLMs), and vision-language-action models (VLAs), across a range of model scales and application scenarios. The Research Fellow will advance efficient AI
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language model. To produce publications in top conferences and journals. To offer guidance and assistance to any students involved in the project. To collaborate with industrial and academic partners