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Collections including paper arxiv:2310.16656

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 17
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Paper • 2404.09990 • Published Apr 15 • 12
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization

Paper • 2404.09956 • Published Apr 15 • 11
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models

Paper • 2404.09204 • Published Apr 14 • 10
Taming Latent Diffusion Model for Neural Radiance Field Inpainting

Paper • 2404.09995 • Published Apr 15 • 6

Seminal AI Papers

A collection of top AI papers.

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 40
You Only Look Once: Unified, Real-Time Object Detection

Paper • 1506.02640 • Published Jun 8, 2015 • 1
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks

Paper • 1504.02531 • Published Apr 10, 2015
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Paper • 2401.05566 • Published Jan 10 • 25

A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

Paper • 2310.16656 • Published Oct 25, 2023 • 39
Unsupervised Universal Image Segmentation

Paper • 2312.17243 • Published Dec 28, 2023 • 18
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 108
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6 • 25

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Paper • 2306.07967 • Published Jun 13, 2023 • 24
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

Paper • 2306.07954 • Published Jun 13, 2023 • 111
TryOnDiffusion: A Tale of Two UNets

Paper • 2306.08276 • Published Jun 14, 2023 • 71
Seeing the World through Your Eyes

Paper • 2306.09348 • Published Jun 15, 2023 • 31

generative-model-training

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Paper • 2310.00426 • Published Sep 30, 2023 • 60
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

Paper • 2310.16656 • Published Oct 25, 2023 • 39
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

Paper • 2310.16825 • Published Oct 25, 2023 • 30
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Paper • 2401.11605 • Published Jan 21 • 19

A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

Paper • 2310.16656 • Published Oct 25, 2023 • 39

A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

Paper • 2310.16656 • Published Oct 25, 2023 • 39
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

Paper • 2310.16825 • Published Oct 25, 2023 • 30
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 39
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Paper • 2311.04145 • Published Nov 7, 2023 • 31

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 14
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 24
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 6
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 19

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 96
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 68
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 39
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 39

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