HF Papers

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality

2024-10-11

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models

2024-10-11

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

2024-10-11

Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations

Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations

2024-10-11

Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System

Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System

2024-10-11

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents

2024-10-11

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation

DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation

2024-10-11

Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition

Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition

2024-10-11

LPZero: Language Model Zero-cost Proxy Search from Zero

LPZero: Language Model Zero-cost Proxy Search from Zero

2024-10-11

MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting

MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting

2024-10-11

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models

2024-10-11

Vector-ICL: In-context Learning with Continuous Vector Representations

Vector-ICL: In-context Learning with Continuous Vector Representations

2024-10-11

Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs

Zebra: In-Context and Generative Pretraining for Solving Parametric PDEs

2024-10-11

GLEE: A Unified Framework and Benchmark for Language-based Economic Environments

GLEE: A Unified Framework and Benchmark for Language-based Economic Environments

2024-10-10

Personalized Visual Instruction Tuning

Personalized Visual Instruction Tuning

2024-10-10

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

2024-10-10

Aria: An Open Multimodal Native Mixture-of-Experts Model

Aria: An Open Multimodal Native Mixture-of-Experts Model

2024-10-10

Pixtral 12B

2024-10-10

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

2024-10-10

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

2024-10-10