Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models

stanford-oval/storm 22 Feb 2024

We study how to apply large language models to write grounded and organized long-form articles from scratch, with comparable breadth and depth to Wikipedia pages.


6.36 stars / hour

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

dvlab-research/minigemini 27 Mar 2024

We try to narrow the gap by mining the potential of VLMs for better performance and any-to-any workflow from three aspects, i. e., high-resolution visual tokens, high-quality data, and VLM-guided generation.

Image Comprehension Visual Dialog +1

5.79 stars / hour

InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

tencentarc/instantmesh 10 Apr 2024

We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability.

Image to 3D

3.23 stars / hour

LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models

facebookresearch/llm-transparency-tool 10 Apr 2024

We present the LM Transparency Tool (LM-TT), an open-source interactive toolkit for analyzing the internal workings of Transformer-based language models.

Decision Making

3.10 stars / hour

Magic Clothing: Controllable Garment-Driven Image Synthesis

shinechen1024/magicclothing 15 Apr 2024

We propose Magic Clothing, a latent diffusion model (LDM)-based network architecture for an unexplored garment-driven image synthesis task.

Image Generation

2.10 stars / hour

Solving Data Quality Problems with Desbordante: a Demo

mstrutov/desbordante 27 Jul 2023

However, most existing data profiling systems that focus on complex statistics do not provide proper integration with the tools used by contemporary data scientists.

Anomaly Detection Descriptive

1.94 stars / hour

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

xuezhemax/megalodon 12 Apr 2024

The quadratic complexity and weak length extrapolation of Transformers limits their ability to scale to long sequences, and while sub-quadratic solutions like linear attention and state space models exist, they empirically underperform Transformers in pretraining efficiency and downstream task accuracy.

1.83 stars / hour

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

facebookresearch/generative-recommenders 27 Feb 2024

Large-scale recommendation systems are characterized by their reliance on high cardinality, heterogeneous features and the need to handle tens of billions of user actions on a daily basis.

 Ranked #1 on Recommendation Systems on MovieLens 20M (HR@10 (full corpus) metric)

Recommendation Systems

1.79 stars / hour

MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion

zjukg/mygo 15 Apr 2024

To overcome their inherent incompleteness, multi-modal knowledge graph completion (MMKGC) aims to discover unobserved knowledge from given MMKGs, leveraging both structural information from the triples and multi-modal information of the entities.

Contrastive Learning Descriptive +3

1.32 stars / hour

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

FoundationVision/VAR 3 Apr 2024

We present Visual AutoRegressive modeling (VAR), a new generation paradigm that redefines the autoregressive learning on images as coarse-to-fine "next-scale prediction" or "next-resolution prediction", diverging from the standard raster-scan "next-token prediction".

Image Generation Language Modelling +2

1.32 stars / hour