Ling-2.6 Collection Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs. • 4 items • Updated 8 days ago • 13
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation Paper • 2604.21375 • Published 16 days ago • 17
ClawArena: Benchmarking AI Agents in Evolving Information Environments Paper • 2604.04202 • Published Apr 5 • 37
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw Paper • 2604.04759 • Published Apr 6 • 24
Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory Paper • 2604.01007 • Published Apr 2 • 31
Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation Paper • 2603.12793 • Published Mar 13 • 38
MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild Paper • 2603.17187 • Published Mar 17 • 139
Mistral Small 4 Collection A state-of-the-art model, open-weight, with a granular Mixture-of-Experts architecture that fuses instruct, reasoning and agentic skills. • 3 items • Updated Mar 16 • 72
Nemotron-Post-Training-v3 Collection Collection of datasets used in the post-training phase of Nemotron Nano and Super v3. • 28 items • Updated 20 minutes ago • 136
MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe Paper • 2509.18154 • Published Sep 16, 2025 • 56
view article Article GGML and llama.cpp join HF to ensure the long-term progress of Local AI +4 Feb 20 • 505
MAI-UI Technical Report: Real-World Centric Foundation GUI Agents Paper • 2512.22047 • Published Dec 26, 2025 • 30
OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation Paper • 2601.15369 • Published Jan 21 • 21