Daily Papers of 2023-09-28

1. Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack 33 upvotes, #1 of 2023-09-28
2. Finite Scalar Quantization: VQ-VAE Made Simple 24 upvotes, #2 of 2023-09-28
3. Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition 23 upvotes, #3 of 2023-09-28
4. Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation 19 upvotes, #4 of 2023-09-28
5. NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions 15 upvotes, #5 of 2023-09-28
6. Jointly Training Large Autoregressive Multimodal Models 8 upvotes, #6 of 2023-09-28
7. Evaluating Cognitive Maps and Planning in Large Language Models with CogEval 7 upvotes, #7 of 2023-09-28
8. DECO: Dense Estimation of 3D Human-Scene Contact In The Wild 7 upvotes, #7 of 2023-09-28
9. VPA: Fully Test-Time Visual Prompt Adaptation 5 upvotes, #9 of 2023-09-28

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.