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ACE Robotics, The Chinese University of Hong Kong
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Fine-tuning with HABC boosts task success rates from as low as 12% to over 90% by intelligently balancing viability and efficiency in sparse feedback scenarios.
InterleaveThinker transforms standard image generators into powerful tools for interleaved generation, achieving state-of-the-art performance while enhancing reasoning capabilities.
