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Maxine Wu

2 accepted papers

2025

Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence

NeurIPS 2025spotlight

AI agents today are mostly siloed — they either retrieve and reason over vast amount of digital information and knowledge obtained online; or interact with the physical world through embodied perception, planning and action — but rarely both. This separation limits their ability to solve tasks that…

Cited by 0SourceScholar
2025

SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation

ICLR 2025spotlight

Human beings are endowed with a complementary learning system, which bridges the slow learning of general world dynamics with fast storage of episodic memory from a new experience. Previous video generation models, however, primarily focus on slow learning by pre-training on vast amounts of data, ov…

Cited by 4SourcePDFScholar