Daily Papers of 2023-10-31

1. LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery 24 upvotes, #1 of 2023-10-31
2. MM-VID: Advancing Video Understanding with GPT-4V(ision) 20 upvotes, #2 of 2023-10-31
3. VideoCrafter1: Open Diffusion Models for High-Quality Video Generation 16 upvotes, #3 of 2023-10-31
4. Atom: Low-bit Quantization for Efficient and Accurate LLM Serving 11 upvotes, #4 of 2023-10-31
5. CustomNet: Zero-shot Object Customization with Variable-Viewpoints in Text-to-Image Diffusion Models 10 upvotes, #5 of 2023-10-31
6. TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise 9 upvotes, #6 of 2023-10-31
7. Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation 8 upvotes, #7 of 2023-10-31
8. Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V 8 upvotes, #7 of 2023-10-31
9. Skywork: A More Open Bilingual Foundation Model 6 upvotes, #9 of 2023-10-31
10. Text-to-3D with classifier score distillation 6 upvotes, #9 of 2023-10-31

Data: hysts-bot-data/daily-papers-stats and the Daily Papers API. Open data: tardellirs/paper-pulse-data. Sister project: Model Pulse, the download history of every model on the Hub.