Workshop Time, June 18 2024, 1pm - 6:30pm PDT
Workshop location, Seattle Convention Center | Summit 433
The landscape of artificial intelligence is being transformed by the advent of Generative Foundation Models (GenFMs), such as Large Language Models (LLMs) and diffusion models. GenFMs offer unprecedented opportunities to enrich human lives and transform industries. However, they also pose significant challenges, including the generation of factually incorrect or biased information, which might be potentially harmful or misleading. With the emergence of multimodal GenFMs, which leverage and generate content in an increasing number of modalities, these challenges are set to become even more complex. This emphasizes the urgent need for rigorous and effective evaluation methodologies.
The 1st Workshop on Evaluation for Generative Foundation Models at CVPR 2024 aims to build a forum to discuss ongoing efforts in industry and academia, share best practices, and engage the community in working towards more reliable and scalable approaches for GenFMs evaluation.
Assistant Professor at University of Washington
Associate Professor at University of Chicago
Associate Professor at University of Washington
Associate Professor at Nanyang Technological University
Principal Research Scientist at IBM Research
Co-founder & CTO at Kotoba Technologies, Inc.
Staff Research Scientist at Google Research
Researcher at Microsoft Research
Staff Research Engineer at Google Brain
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