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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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. 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 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
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language model (LLM) tools to extract, structure, and analyze information from unstructured sources such as corporate disclosures, regulatory filings, policy documents, and project-level reports. Develop and
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in at least one programming language for data science and numerical computing (e.g., Python, Fortran). We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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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
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programming language would be valued (e.g. Python, Matlab…) Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research. We
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, linguistics, philosophy, art history, literary studies, and art, design and media. About the Fellowship The NTU CoHASS Early Career Research Fellowships aims to nurture promising young researchers within
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quantization, pruning, distillation, and low-rank adaptation. Demonstrated experience working with foundation models, particularly vision-language models (VLMs); experience with LLMs or VLAs is a strong