AI Onderzoekspapers Dagelijks

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

EXAONE 3.5: Series of Large Language Models for Real-world Use Cases

LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion

APOLLO: SGD-like Memory, AdamW-level Performance

Moto: Latent Motion Token as the Bridging Language for Robot Manipulation

GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration

CompCap: Improving Multimodal Large Language Models with Composite Captions

Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks

Mind the Time: Temporally-Controlled Multi-Event Video Generation

PanoDreamer: 3D Panorama Synthesis from a Single Image

2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling

RL Zero: Zero-Shot Language to Behaviors without any Supervision