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Large language models can answer scientific questions, yet a correct output does not reveal whether the model represe...
3D Gaussian Splatting (3DGS) achieves high-quality novel-view synthesis by optimizing freely placed primitives in 3D ...
Practical robotic grasping in complex scenes requires both 3D spatial reasoning and alignment with task-specific requ...
This work introduces G-MAD, an open-source framework that uses Arma3 to generate synchronized multi-view RGB-T data f...
Reinforcement learning with verifiable rewards has become the predominant recipe for eliciting test-time scaling in e...
Full-parameter post-training of trillion-parameter-scale MoE models introduces substantial system-level challenges fo...
As large language models and AI agents become the primary consumers of search results, document set quality determine...
Finetuning a pretrained vision-language model (VLM) on robot demonstrations via behavior cloning (BC) has become the ...
Recent autoregressive video diffusion methods are increasingly built upon Self Forcing, where the student is trained ...
Reinforcement learning (RL) has become a dominant paradigm for enhancing LLMs' reasoning capabilities. However, RL al...
Reinforcement learning with verifiable rewards (RLVR) has substantially improved language-model reasoning, yet its ex...
Video Diffusion Transformers process long spatio-temporal sequences, making self-attention the main bottleneck in hig...