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Human GUI interactions can be precisely captured and translated into reusable agent skills, dramatically boosting performance on unseen software and workflows.
Natural-language critiques can transform how we evaluate and optimize song generation models, leading to more human-aligned outputs.
EgoHieraLoc achieves unprecedented accuracy in egocentric visual query localization by mimicking human visual processing strategies.
Finally, a fully open-source, reproducible system for long-form song generation is here, complete with licensed data, code, and a Qwen-based model that rivals closed-source systems.
