AI Native Foundation

MinerU: An Open-Source Solution for Precise Document Content Extraction

2024-09-30

MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making

2024-09-30

HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic Workflows

2024-09-30

A Survey on the Honesty of Large Language Models

2024-09-30

LML: Language Model Learning a Dataset for Data-Augmented Prediction

2024-09-30

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

2024-09-27

LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

2024-09-27

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

2024-09-27

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

2024-09-27

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction

2024-09-27

Pixel-Space Post-Training of Latent Diffusion Models

2024-09-27

Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling

2024-09-27

Instruction Following without Instruction Tuning

2024-09-27

Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction

2024-09-27

Disco4D: Disentangled 4D Human Generation and Animation from a Single Image

2024-09-27

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends

2024-09-27

Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study

2024-09-27

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

2024-09-26

Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale

2024-09-26

Boosting Healthcare LLMs Through Retrieved Context

2024-09-26

HF Papers

MinerU: An Open-Source Solution for Precise Document Content Extraction

MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making

HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic Workflows

A Survey on the Honesty of Large Language Models

LML: Language Model Learning a Dataset for Data-Augmented Prediction

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models

LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions

Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction

Pixel-Space Post-Training of Latent Diffusion Models

Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling

Instruction Following without Instruction Tuning

Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction

Disco4D: Disentangled 4D Human Generation and Animation from a Single Image

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends

Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale

Boosting Healthcare LLMs Through Retrieved Context

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