World Model on Million-Length Video And Language With RingAttention Paper • 2402.08268 • Published Feb 13 • 37
Improving Text Embeddings with Large Language Models Paper • 2401.00368 • Published Dec 31, 2023 • 79
VideoAgent: Long-form Video Understanding with Large Language Model as Agent Paper • 2403.10517 • Published Mar 15 • 31
Getting it Right: Improving Spatial Consistency in Text-to-Image Models Paper • 2404.01197 • Published Apr 1 • 30
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD Paper • 2404.06512 • Published Apr 9 • 29
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies Paper • 2404.08197 • Published Apr 12 • 27
Many-Shot In-Context Learning in Multimodal Foundation Models Paper • 2405.09798 • Published May 16 • 26
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning Paper • 2405.12130 • Published May 20 • 46
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework Paper • 2405.11143 • Published May 20 • 34
ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models Paper • 2405.15738 • Published May 24 • 43
LLMs achieve adult human performance on higher-order theory of mind tasks Paper • 2405.18870 • Published May 29 • 17
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step Paper • 2406.04314 • Published Jun 6 • 27
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Paper • 2406.06525 • Published Jun 10 • 65
Mixture-of-Agents Enhances Large Language Model Capabilities Paper • 2406.04692 • Published Jun 7 • 55
GenAI Arena: An Open Evaluation Platform for Generative Models Paper • 2406.04485 • Published Jun 6 • 20
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs Paper • 2406.07476 • Published Jun 11 • 32
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text Paper • 2406.08418 • Published Jun 12 • 28
DataComp-LM: In search of the next generation of training sets for language models Paper • 2406.11794 • Published Jun 17 • 48
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens Paper • 2406.11271 • Published Jun 17 • 19
Instruction Pre-Training: Language Models are Supervised Multitask Learners Paper • 2406.14491 • Published Jun 20 • 85
nabla^2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials Paper • 2406.14347 • Published Jun 20 • 98
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding Paper • 2406.14515 • Published Jun 20 • 32
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Paper • 2406.17557 • Published Jun 25 • 86
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs Paper • 2406.18629 • Published Jun 26 • 41
HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale Paper • 2406.19280 • Published Jun 27 • 60
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy Paper • 2406.20095 • Published Jun 28 • 17
OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation Paper • 2407.02371 • Published Jul 2 • 49
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models Paper • 2407.01906 • Published Jul 2 • 34
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision Paper • 2407.06189 • Published Jul 8 • 24
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies Paper • 2407.13623 • Published Jul 18 • 52