Allen Institute for AI has released MolmoMotion, a new model that adds language-guided 3D motion forecasting to the open-source Molmo family. By conditioning spatial trajectory predictions on natural language, the system enables more flexible, human-interpretable motion anticipation. The work targets applications in robotics, video understanding, and embodied AI where predicting movement in 3D space is safety-critical or operationally essential.
Hugging Face has introduced SmolVLM2, the latest addition to its Smol family of lightweight models. SmolVLM2 is designed to bring advanced vision-language…
CinePile is a multimodal question-answering dataset focused on movie and long-video understanding. In traditional dataset construction, researchers commonly…
With the explosion of video generation and understanding models such as Sora and Gen-3, high-quality video training data has become a key battleground for…