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Found 5 papers, 3 papers with code
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge present in both visual and textual data.
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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