Minkai Xu

Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective

RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models

Inference-Time Scaling of Diffusion Language Models with Particle Gibbs Sampling

Discrete Diffusion Trajectory Alignment via Stepwise Decomposition

Lyapunov Guidance: Stabilizing Generative Flows with One-Line Code

RFG: Test-Time Scaling for Diffusion Large Language Model Reasoning with Reward-Free Guidance

Divergence Minimization Preference Optimization for Diffusion Model Alignment

3D Interaction Geometric Pre-training for Molecular Relational Learning

Energy-Based Diffusion Language Models for Text Generation

SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction

Smooth Interpolation for Improved Discrete Graph Generative Models

TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Smooth Probabilistic Interpolation Benefits Generative Modeling for Discrete Graphs

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis