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Video generative models commonly rely on latent spaces learned by 3D Variational Autoencoders (3D-VAEs). However, con...
In this report, we introduce Qwen-Music, a powerful music generation model capable of producing highly musical and hi...
Graph retrieval-augmented generation (GraphRAG) enhances large language models with structured knowledge, yet existin...
We present S1-Omni, a unified multimodal reasoning model for scientific understanding, prediction, and generation. AI...
Muon is competitive with AdamW in large-scale pre-training, but its value for reinforcement-learning (RL) post-traini...
Reinforcement learning with verifiable rewards (RLVR) commonly uses entropy for advantage shaping. However, entropy c...
Skills are a useful abstraction for software agents, turning human and agent experience into reusable procedural know...
Reinforcement learning from verifiable rewards (e.g. GRPO) is the engine behind today's reasoning models, yet it grad...
Vision-language-action (VLA) models predict robot actions from visual observations and language instructions. These a...
Autonomous negotiation agents are increasingly deployed in high-stakes settings such as insurance and procurement. Wh...
Training-free in-context segmentation enables new object categories to be introduced at inference time from a single ...
Plasma diagnostic models for tokamak fusion devices are almost universally evaluated on clean, complete sensor data. ...