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GigaBrain-0.7 achieves unprecedented task adaptability in embodied agents, outperforming previous models in zero-shot capabilities and instruction following.
M-Net achieves up to a 12.37% improvement in segmentation accuracy by integrating mathematical features into deep learning architectures, challenging the notion that data alone suffices for optimal performance.
YouZhi-LLM achieves unprecedented concurrency and accuracy in financial LLMs by dramatically reducing KV-cache overhead, setting a new standard for deployment efficiency.
Finally, a dataset that moves beyond text-centric peer review to capture the rich visual and iterative nature of manuscript evaluation.
