IAMFlow is a training-free identity-aware memory framework that tracks persistent entities across prompts to generate consistent long narrative videos, achieving best benchmark scores and faster inference.
SRL-MPC integrates reinforcement-learned parameter updates with shape-aware model predictive control via geometric separation features to navigate dense heterogeneous robot crowds safely and adaptively.
Timeflies jointly infers whether future observations exist and predicts their values, outperforming methods that assume future observation times are known.
MORA rewrites prompts to expand multi-dimensional reward diversity and breaks the safety-helpfulness trade-off, improving sequential single-preference alignment by up to 12.4% and simultaneous alignment by 4.6%.
SkeMex improves medical agents via self-evolving skill memory that distills reusable procedural knowledge, governs retention by utility, and outperforms memory-based agents across clinical tasks.