AI Native Foundation

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer

2025-01-28

Emilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generation

2025-01-28

iFormer: Integrating ConvNet and Transformer for Mobile Application

2025-01-28

CodeMonkeys: Scaling Test-Time Compute for Software Engineering

2025-01-28

Are Vision Language Models Texture or Shape Biased and Can We Steer Them?

2025-01-28

Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity

2025-01-28

OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas

2025-01-28

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

2025-01-28

Visual Generation Without Guidance

2025-01-28

Return of the Encoder: Maximizing Parameter Efficiency for SLMs

2025-01-28

Feasible Learning

2025-01-28

Humanity’s Last Exam

2025-01-27

Redundancy Principles for MLLMs Benchmarks

2025-01-27

Chain-of-Retrieval Augmented Generation

2025-01-27

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques

2025-01-27

Relightable Full-Body Gaussian Codec Avatars

2025-01-27

RL + Transformer = A General-Purpose Problem Solver

2025-01-27

Question Answering on Patient Medical Records with Private Fine-Tuned LLMs

2025-01-27

GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing

2025-01-27

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

2025-01-27

HF Papers

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer

Emilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generation

iFormer: Integrating ConvNet and Transformer for Mobile Application

CodeMonkeys: Scaling Test-Time Compute for Software Engineering

Are Vision Language Models Texture or Shape Biased and Can We Steer Them?

Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity

OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

Visual Generation Without Guidance

Return of the Encoder: Maximizing Parameter Efficiency for SLMs

Feasible Learning

Humanity’s Last Exam

Redundancy Principles for MLLMs Benchmarks

Chain-of-Retrieval Augmented Generation

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques

Relightable Full-Body Gaussian Codec Avatars

RL + Transformer = A General-Purpose Problem Solver

Question Answering on Patient Medical Records with Private Fine-Tuned LLMs

GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing

AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

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