Le64

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In particular J1 Qwen 32B our multitasked pointwise and pairwise judge also outperforms o1 mini o3 and a much

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Figure 3 Qwen 3D architecture Given a natural language query and multi view RGB D inputs the Qwen2 5 VL vision encoder

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Recent Large Multimodal Models LMMs achieve impressive performance on images and short videos but long

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Our main result identifies the critical scaling beta n asymp log n and provides a rigorous justification for attention

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We empirically validate our method on the Qwen 2 5 and Qwen 3 model families across a wide range of reasoning

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High quality scientific illustrations are crucial for effectively communicating complex scientific and technical concepts

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Profile page of Jiaming Liu on OpenReview a platform for promoting openness in scientific communication and peer

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We conduct extensive experiments on seven different benchmarks with open source LLMs of different sizes 0 5B to

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The tables below show that our proposed training recipe generalizes across model sizes 1B 7B generalizes across