Distilled diffusion models generate high-quality images in a few sampling steps, but aligning them with task requirements and human preferences is difficult. Methods developed for multi-step diffusion models rely on differentiable rewards, or on score fields and stochastic trajectories that distilled generators may lac...
Yuan-Zhi Zhu, Eleftherios Tsonis, Simo Alami Chehboune et al.· 0 citations
This paper introduces Causal Chain Generation (CCG), a novel task where models have to generate the sequence of intermediate events connecting a cause and an effect, and fine-tune VLMs with GRPO using a composite reward that combines a format reward, SODA-Embedding, and Causal-QA accuracy.
R. Ghermi, Vicky Kalogeiton, Ivan Laptev· Proceedings of the 2026 Conf...· 0 citations
This work introduces TAKE 85, the first benchmark for directorial-intent understanding, comprising 398 short films with expert-verified question-answer pairs spanning global and fine-grained visual and audio intent, and establishes directorial intent as a previously overlooked dimension of multimodal understanding.
Kaishuu Shinozaki-Conefrey, Olivier Pascaud, Robin Courant et al.· 0 citations
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