Route Anything framework improves AI system efficiency
Learned routers outperform fixed models by 0.3 points on 16 benchmarks while reducing policy time 24% and raising efficiency 8.82x on average.
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Learned routers outperform fixed models by 0.3 points on 16 benchmarks while reducing policy time 24% and raising efficiency 8.82x on average.
MiMo-V2.6 scales reinforcement learning across code, visual, and agent tasks and open-sources the RL stack.
OmniConfess re-scores tokens under evidence interventions to reduce omni-modal hallucinations on a 3,540-example benchmark.
OmniReasoning-30B-A3B lifts audio-visual joint reasoning by 9.3 points over Qwen3-Omni using new data and self-distillation.
Ovis-Embedding reports state-of-the-art omni-modal retrieval across text, image, video, and audio.
Researchers benchmark MiniMax-H3 omni-modal generation on physical world reasoning across 517 multimodal tasks, finding 41.97% overall success and weak audio-based disambiguation.
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