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Collections including paper arxiv:2405.12399

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 21
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 9
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 33
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published 19 days ago • 60
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning

Paper • 2406.06469 • Published 19 days ago • 22
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Paper • 2406.04271 • Published 23 days ago • 26
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published 25 days ago • 35

about 6 hours ago

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7 • 11
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 4

More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3 • 47
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12 • 39
Generative Agents: Interactive Simulacra of Human Behavior

Paper • 2304.03442 • Published Apr 7, 2023 • 11
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8

Synthetic Data and Self-Improvement

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 105
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12 • 39
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 24

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18 • 51
Time Machine GPT

Paper • 2404.18543 • Published Apr 29 • 2
Diffusion for World Modeling: Visual Details Matter in Atari

Paper • 2405.12399 • Published May 20 • 25
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 44

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13 • 10
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15 • 18
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16 • 10
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21 • 12

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

Paper • 2312.09608 • Published Dec 15, 2023 • 13
CodeFusion: A Pre-trained Diffusion Model for Code Generation

Paper • 2310.17680 • Published Oct 26, 2023 • 68
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image

Paper • 2310.17994 • Published Oct 27, 2023 • 7
Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Paper • 2401.02677 • Published Jan 5 • 21

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

Paper • 2306.07967 • Published Jun 13, 2023 • 23
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

Research Papers

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Paper • 2402.10176 • Published Feb 15 • 33
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 50
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 46
Matryoshka Representation Learning

Paper • 2205.13147 • Published May 26, 2022 • 7

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