Chengzhen Yu

3 articles on SOTA Papers

Agent Swarm Cuts Complex Task Latency Up To 4.5×

Kimi K2.5 couples joint text-vision training with dynamically scheduled parallel subagents, improving agentic search scores while reducing time to target quality.

Aug 13, 20264 min2602.02276

Kimi K3 Brings Open Weights Closer to Frontier Agents

A 2.8T-parameter MoE combines Delta Attention, 16-of-896 expert routing, and agentic reinforcement learning to approach leading proprietary systems at lower task cost.

Aug 10, 20264 min2607.24653

Unified 3D Pipeline Turns Mixed Inputs Into Explorable Worlds

ABot-3DWorld 0 maps text, images, multi-view photos, and video into a shared Spatial Generative Primitive before generating panoramic exploration paths and reconstructing 3D Gaussian Splatting worlds.

Jul 28, 20264 min2607.11673