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University of Illinois Urbana-Champaign
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Agents can boost their task completion rates by over 20% simply by grounding their actions in observed context rather than assumptions.
LLMs struggle with adaptive planning, achieving only 67.75% accuracy when faced with progressively revealed world and user constraints.
Crafter revolutionizes scientific figure generation by enabling multi-type outputs and local editability, outperforming existing systems across diverse benchmarks.
LMMs can't MacGyver their way out of a paper bag: they struggle to creatively repurpose objects in visually complex environments, revealing a critical gap in grounded reasoning beyond pattern recognition.
