Bowen Yang
Login to view DISC.Bowen Yang is a Member of Technical Staff on Coheres Foundation team, focusing on pushing the capabilities of large language models. A graduate of Columbia University and the University of Waterloo, his recent work includes co-authoring papers on hybrid attention strategies and KV cache efficiency, which were accepted at NeurIPS 2024 and 2025.
There is no publicly available information regarding Bowens personal life or hobbies outside of his professional work in AI research and development. His public profile and publications are centered on his technical contributions to the field of large language models.
He was a featured speaker at NVIDIA GTC, where he co-presented a talk on the challenges and innovations in scaling transformer models for long-context modeling.
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