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Found 4 papers, 3 papers with code
What Language Model to Train if You Have One Million GPU Hours?
All our models and code are open-sourced at https://huggingface. co/bigscience .
An Exploration of Neural Radiance Field Scene Reconstruction: Synthetic, Real-world and Dynamic Scenes
This project presents an exploration into 3D scene reconstruction of synthetic and real-world scenes using Neural Radiance Field (NeRF) approaches.
Multitask Prompted Training Enables Zero-Shot Task Generalization
Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020).
Semi-supervised Deep Embedded Clustering with Anomaly Detection for Semantic Frame Induction
Although FrameNet is recognized as one of the most fine-grained lexical databases, its coverage of lexical units is still limited.
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