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Xi'an Jiaotong University
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OPERA's intrinsic reward mechanism enables LLMs to achieve new heights in open-ended reasoning, outperforming proprietary models without the pitfalls of biased supervision.
Achieving up to 1.90X speedup in video generation without sacrificing fidelity, ScalingAttention redefines efficiency in Diffusion Transformers.
Scene graphs are all you need: AeroRAG shows that structured knowledge retrieval from visual data significantly boosts LLM performance on fine-grained visual reasoning tasks.