Cover Image

LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Shufan, Zhu, Yuchen, Gu, Jiuxiang, Liu, Kangning, Lin, Zhe, Chen, Yongxin, Tao, Molei, Grover, Aditya, Kuen, Jason
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse-LaViDa: Sparse Multimodal Discrete Diffusion Language Models
by: Li, Shufan, et al.
Published: (2025)

LaViDa: A Large Diffusion Language Model for Multimodal Understanding
by: Li, Shufan, et al.
Published: (2025)

Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation
by: Li, Shufan, et al.
Published: (2025)

SNCE: Geometry-Aware Supervision for Scalable Discrete Image Generation
by: Li, Shufan, et al.
Published: (2026)

PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction
by: Li, Shufan, et al.
Published: (2025)

Proximal Diffusion Neural Sampler
by: Guo, Wei, et al.
Published: (2025)

InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following
by: Li, Shufan, et al.
Published: (2023)

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
by: Zhu, Yuchen, et al.
Published: (2025)

Plug-and-Play Controllable Generation for Discrete Masked Models
by: Guo, Wei, et al.
Published: (2024)

Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
by: Rojas, Kevin, et al.
Published: (2025)

ImageFolder: Autoregressive Image Generation with Folded Tokens
by: Li, Xiang, et al.
Published: (2024)

MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
by: Zhu, Yuchen, et al.
Published: (2025)

From Masks to Worlds: A Hitchhiker's Guide to World Models
by: Bai, Jinbin, et al.
Published: (2025)

PopAlign: Population-Level Alignment for Fair Text-to-Image Generation
by: Li, Shufan, et al.
Published: (2024)

Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
by: Li, Shufan, et al.
Published: (2024)

Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
by: Zhu, Sichen, et al.
Published: (2025)

Refer to Any Segmentation Mask Group With Vision-Language Prompts
by: Cao, Shengcao, et al.
Published: (2025)

XQ-GAN: An Open-source Image Tokenization Framework for Autoregressive Generation
by: Li, Xiang, et al.
Published: (2024)

TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion
by: Tang, Sophia, et al.
Published: (2025)

Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
by: Guo, Wei, et al.
Published: (2024)

Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
by: Guo, Wei, et al.
Published: (2025)

PhysiX: A Foundation Model for Physics Simulations
by: Nguyen, Tung, et al.
Published: (2025)

Accelerating Inference of Masked Image Generators via Reinforcement Learning
by: Subbaraman, Pranav, et al.
Published: (2025)

VGent: Visual Grounding via Modular Design for Disentangling Reasoning and Prediction
by: Kang, Weitai, et al.
Published: (2025)

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
by: Rojas, Kevin, et al.
Published: (2025)

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
by: Ren, Yinuo, et al.
Published: (2025)

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
by: Zhao, Siyan, et al.
Published: (2025)

Quantum State Generation with Structure-Preserving Diffusion Model
by: Zhu, Yuchen, et al.
Published: (2024)

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
by: Zhu, Yuchen, et al.
Published: (2024)

Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design
by: Choi, Jaemoo, et al.
Published: (2026)

Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration
by: Li, Zhuoling, et al.
Published: (2026)

Image Tokenizer Needs Post-Training
by: Qiu, Kai, et al.
Published: (2025)

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis
by: Qiu, Kai, et al.
Published: (2025)

Generative modeling assisted simulation of measurement-altered quantum criticality
by: Zhu, Yuchen, et al.
Published: (2024)

Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization
by: Li, Shufan, et al.
Published: (2026)

Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection
by: Li, Shufan, et al.
Published: (2025)

Non-equilibrium Annealed Adjoint Sampler
by: Choi, Jaemoo, et al.
Published: (2025)

Provable Separations between Memorization and Generalization in Diffusion Models
by: Ye, Zeqi, et al.
Published: (2025)

DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation
by: Li, Zhuoling, et al.
Published: (2026)

LICO: Large Language Models for In-Context Molecular Optimization
by: Nguyen, Tung, et al.
Published: (2024)