Trending research and the full catalog - each paper linked to the benchmarks, methods, and models it introduces.
Maosong Sun, Zhiyuan Liu, Yankai Lin et al. · 6 Feb 2026
AgentCPM-Report presents a lightweight local solution for deep research report generation using a Writing As Reasoning Policy framework and multi-stage agentic training to enhance small models' reasoning and outline evolution capabilities.
Ziwei Liu, Haiwen Diao, Haozhe Xie et al. · 29 Jan 2026
Manipulating dynamic objects remains an open challenge for Vision-Language-Action (VLA) models, which, despite strong generalization in static manipulation, struggle in dynamic scenarios requiring rapid perception, temporal anticipation, and continuous control.
Yun Liu, Li Yi, Han Xue et al. · 22 Jan 2026
Humanoid potential fields encode collision-free motion directions to enable reinforcement learning-based traversal skills in cluttered indoor environments with minimal sim-to-real gap.
14 Jul 2026
Coding agents must integrate external tool returns into ongoing reasoning - a capability that standard left-to-right pretraining on code exposes only in its forward direction.
7 Jul 2026
Interactive simulators have become powerful tools for training embodied agents and generating synthetic visual data, but existing photorealistic simulators suffer from limited generality, programmability, and rendering speed.
23 Jun 2026
The composition of training data, governed by the diversity of sources and their mixing strategy, is a cornerstone of Large Language Model (LLM) pre-training. Online Data Mixing (ODM), the technique of adaptively adjusting data mixtures during training, has emerged as a…