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Appendix Contents 1 Introduction 1 2 Related Work 3 3 The D
Participants are not allowed to modify the training procedure.
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Jigsaw: Learning to Assemble Multiple Fractured Objects
This paper presents Jigsaw, a novel framework for assembling physically broken 3D objects from multiple pieces.
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MatFormer: Nested Transformer for Elastic Inference Devvrit
Feed Forward Network (FFN) block structure within a standard Transformer model.
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Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
Across a wide range of hardware scenarios, the computational efficiency and physical size of the arithmetic units significantly influence the speed and footprint of the overall hardware system.
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AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
To improve it, various frameworks have been proposed.
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Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
A new framework is proposed in this paper to address these issues.
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