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Progressive Autoregressive Video Diffusion Models (Oct., 2024) Real-Time Video Generation with Pyramid Attention Broadcast (Aug., 2024) xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations (Aug., 2024) CogVideoX: Text-to-video generation (Aug., 2024) FreeLong:...
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu and Min Yang. [paper] 🧰 Resources EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models. ...
11. Work with one task at a time The main rule of video editing like a real professional is to focus on one fragment of the timeline. Do not jump from one task to another, like do not begin to edit video and audio at the same time. Do each modification one after another. For ex...
This scheme applied to Artificial Neural Networks (ANN) is known with the name of Multitask Learning (MTL). So, the information coming from the related secondary tasks provide a bias to the main task, which improves its performances versus a Single-Task Learning (STL) scheme. However, this ...
There are four monetization models that are frequently used in popular video editing apps: In-app advertising. This method speaks for itself. Your app is free, but users see ads. Freemium model. This method is slightly different. The app is free to download, but some features require in-ap...
When referencing by name, fields are case insensitive and you can replace spaces with underscores. If there are custom fields with the same name, or a custom field has the same name as a system field, you will need to use the custom field ID. ...
Editing model parameters directly in Transformers makes updating open-source transformer-based models possible without re-training (Meng et al., 2023). However, these editing methods have only been evaluated on statements about encyclopedic knowledge with a single correct answer. Commonsense knowledge wit...
Models Methods MQuAKE Arithmetic Scientific New Info Debiasing I Debiasing II MCQ T/F Llama-3-8B-Instruct Fine-tuning 11.2 74.1 11.1 30.3 9.2 15.9 - Llama-3-8B-Instruct KN 2.8 80.4 82.1 66.6 - - Llama-3-8B-Instruct ROME 4.0 80.5 81.4 69.1 - - Llama-3-8B-Instruct RAG 9.7 84.0 81...
If self-intersection occurs, it must be fixed as a post-process, which is a tedious task. The self-intersection problem is more acute in cases where the models are changing. Also, when merging two mesh models the process of clipping individual polygons and patches may produce errors when ...