Papers16

#long-horizon planning

Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone

Jiacheng Ye, Shansan Gong et al.Dec 27arXiv

Dream-VL and Dream-VLA use a diffusion language model backbone to understand images, talk about them, and plan actions better than many regular (autoregressive) models.

#diffusion language model#vision-language model#vision-language-action

Not triaged yet

Active Intelligence in Video Avatars via Closed-loop World Modeling

Intermediate

Xuanhua He, Tianyu Yang et al.Dec 23arXiv

The paper turns video avatars from passive puppets into active doers that can plan, act, check their own work, and fix mistakes over many steps.

#ORCA#L-IVA#Internal World Model

Not triaged yet

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios

Intermediate

Minh V. T. Thai, Tue Le et al.Dec 20arXiv

SWE-EVO is a new test (benchmark) that checks if AI coding agents can upgrade real software projects over many steps, not just fix one small bug.

#SWE-EVO#software evolution#coding agents

Not triaged yet

MIND-V: Hierarchical Video Generation for Long-Horizon Robotic Manipulation with RL-based Physical Alignment

Intermediate

Ruicheng Zhang, Mingyang Zhang et al.Dec 7arXiv

Robots need lots of realistic, long videos to learn, but collecting them is slow and expensive.

#hierarchical video generation#robotic manipulation#long-horizon planning

Not triaged yet

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