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 4 days ago • 13
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model Paper • 2604.20796 • Published 13 days ago • 239
view article Article Architectural Choices in China's Open-Source AI Ecosystem: Building Beyond DeepSeek Jan 27 • 45
Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs Paper • 2503.05139 • Published Mar 7, 2025 • 6
LLaDA2.0: Scaling Up Diffusion Language Models to 100B Paper • 2512.15745 • Published Dec 10, 2025 • 88
FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling Paper • 2510.24645 • Published Oct 28, 2025 • 11
TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows Paper • 2512.05150 • Published Dec 3, 2025 • 77
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models Paper • 2512.02556 • Published Dec 2, 2025 • 267
AutoEnv: Automated Environments for Measuring Cross-Environment Agent Learning Paper • 2511.19304 • Published Nov 24, 2025 • 92
GroupRank: A Groupwise Reranking Paradigm Driven by Reinforcement Learning Paper • 2511.11653 • Published Nov 10, 2025 • 59
Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation Paper • 2511.05516 • Published Oct 26, 2025 • 13
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations Paper • 2504.10481 • Published Apr 14, 2025 • 85
Every Activation Boosted: Scaling General Reasoner to 1 Trillion Open Language Foundation Paper • 2510.22115 • Published Oct 25, 2025 • 85
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation Paper • 2510.24821 • Published Oct 28, 2025 • 42