5 papers
Learning Self-Orchestration in Decentralized Agent Swarms
Guowei Xu, Zhenting Qi, Amani Kiruga +2
The capabilities of an agent swarm depend on both its individual members and how they coordinate. Yet existing multi-agent systems often train agents within fixed orchestration str…
World Action Planner: Generalizable Robot Decision-Making with Action-Conditioned World Models
Xiangcheng Zhang, Yilun Du, Runhan Huang
Building generalizable robot agents for diverse applications remains a fundamental challenge. While imitation learning-based policies can perform well in familiar training environm…
EvoLM: In Search of Lost Language Model Training Dynamics
Zhenting Qi, Fan Nie, Alexandre Alahi +6
Modern language model (LM) training has been divided into multiple stages, making it difficult for downstream developers to evaluate the impact of design choices made at each stage…
Inference-time Scaling of Diffusion Models through Classical Search
Xiangcheng Zhang, Haowei Lin, Haotian Ye +4
Classical search algorithms have long underpinned modern artificial intelligence. In this work, we tackle the challenge of inference-time control in diffusion models -- adapting ge…
LoopNav: Benchmarking Spatial Consistency in World Models
Kewei Lian, Shaofei Cai, Yitao Liang +1
The ability to simulate the world in a spatially consistent manner is a crucial requirement for effective world models. Such a model enables high-quality visual generation, and als…