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No single large language model (LLM) is optimal across all queries and budget constraints, making model routing essen...
Large-scale manipulation data is essential for robot learning, yet collecting robot demonstrations remains expensive ...
Semi-supervised semantic segmentation has long turned on one question, which pseudo-labels to trust, and a generation...
Pose-driven human animation synthesizes a video of a target person from a single reference image and a driving pose s...
Talking-video character replacement requires coordinated transfer of appearance and voice while preserving the source...
Agent skills represent a standardized format for packaging procedural knowledge and domain expertise, serving within ...
Visual-token pruning can substantially reduce the inference cost of multimodal large language models (MLLMs), yet exi...
Large language models generate computationally expensive yet semantically void reasoning on beyond-capability tasks, ...
Instruction-tuned language models achieve strong performance across a range of generation tasks, but have also recent...
Extreme events in air transport, such as severe arrival delays and abnormal air times, cause cascading network disrup...
Score Distillation Sampling (SDS) enables text-to-3D generation by optimizing rendered images with a pretrained diffu...
Exploration has been a focus of reinforcement learning research for a long time. Recently, there has been growing evi...