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该论文提出 VepAgent,一个将因果转移推理与工具增强强化学习结合的智能体框架,用于视频事件预测,并构建了 futurebench-4K 思维链数据集,在 FutureBench 和 NEPBench 上达到 SOTA 性能。
Introduces Future-L1, an interleaved latent visual reasoning framework that improves video event prediction by maintaining visual semantics in latent space. Achieves state-of-the-art results on FutureBench and TwiFF-Bench benchmarks.