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AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
LLMs' flexibility is largely due to an "in-context learning" effect that emerges when
How does Architecture Influence the Base Capabilities
Unlike existing work focusing on the influence of scale on base capabilities, our work examines the influence of architecture on those. Specifically, our concern is: How does architecture influence the base capabilities of pre-trained language models?
C-E VAL: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models Y uzhen Huang 1 Y uzhuo Bai
Evaluation benchmarks are at the core role for AI development.
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images
In contrast to existing approaches, we propose a novel framework built on PanoHead, which excels in synthesizing images from a 360-degree perspective.
Finding Local Minima Efficiently in Decentralized Optimization
In this paper we study the second-order optimality of decentralized stochastic algorithm that escapes saddle point efficiently for nonconvex optimization problems.
