{"total":148,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2406.07524","title":"Simple and Effective Masked Diffusion Language Models","created":"2024-06-11","cited_by_count":848,"area":"diffusion"},{"id":"2310.16834","title":"Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution","created":"2023-10-25","cited_by_count":745,"area":"diffusion"},{"id":"2505.22618","title":"Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding","created":"2025-05-28","cited_by_count":420,"area":"inference"},{"id":"2402.04997","title":"Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design","created":"2024-02-07","cited_by_count":305,"area":"diffusion"},{"id":"2505.19223","title":"LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models","created":"2025-05-25","cited_by_count":285,"area":"diffusion"},{"id":"2211.15089","title":"Continuous diffusion for categorical data","created":"2022-11-28","cited_by_count":214,"area":"diffusion"},{"id":"2409.02908","title":"Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling","created":"2024-09-04","cited_by_count":208,"area":"diffusion"},{"id":"2410.18514","title":"Scaling up Masked Diffusion Models on Text","created":"2024-10-24","cited_by_count":199,"area":"diffusion"},{"id":"2412.10193","title":"Simple Guidance Mechanisms for Discrete Diffusion Models","created":"2024-12-13","cited_by_count":155,"area":"diffusion"},{"id":"2505.16933","title":"LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning","created":"2025-05-22","cited_by_count":148,"area":"mllm"},{"id":"2406.01572","title":"Unlocking Guidance for Discrete State-Space Diffusion and Flow Models","created":"2024-06-03","cited_by_count":129,"area":null},{"id":"2505.16990","title":"Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding","created":"2025-05-22","cited_by_count":101,"area":"mllm"},{"id":"2501.00289","title":"Dual Diffusion for Unified Image Generation and Understanding","created":"2024-12-31","cited_by_count":76,"area":"mllm"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2405.20971","title":"Amortizing intractable inference in diffusion models for vision, language, and control","created":"2024-05-31","cited_by_count":72,"area":"diffusion"},{"id":"2507.08838","title":"wd1: Weighted Policy Optimization for Reasoning in Diffusion Language Models","created":"2025-07-07","cited_by_count":71,"area":"lr"},{"id":"2506.13759","title":"Discrete Diffusion in Large Language and Multimodal Models: A Survey","created":"2025-06-16","cited_by_count":61,"area":"mllm"},{"id":"2407.21243","title":"Informed Correctors for Discrete Diffusion Models","created":"2024-07-30","cited_by_count":57,"area":"diffusion"},{"id":"2410.01949","title":"Discrete Copula Diffusion","created":"2024-10-02","cited_by_count":54,"area":"diffusion"},{"id":"2410.03601","title":"How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework","created":"2024-10-04","cited_by_count":48,"area":"diffusion"},{"id":"2404.02954","title":"Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections","created":"2024-04-03","cited_by_count":47,"area":"diffusion"},{"id":"2502.00234","title":"Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms","created":"2025-02-01","cited_by_count":47,"area":"diffusion"},{"id":"2502.09622","title":"Theoretical Benefit and Limitation of Diffusion Language Model","created":"2025-02-13","cited_by_count":47,"area":"diffusion"},{"id":"2511.05664","title":"KLASS: KL-Guided Fast Inference in Masked Diffusion Models","created":"2025-11-07","cited_by_count":47,"area":"diffusion"},{"id":"2402.08095","title":"Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization","created":"2024-02-12","cited_by_count":44,"area":"diffusion"},{"id":"2602.12233","title":"Categorical Flow Maps","created":"2026-02-12","cited_by_count":44,"area":"diffusion"},{"id":"2405.15986","title":"Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity","created":"2024-05-24","cited_by_count":42,"area":"diffusion"},{"id":"2305.10690","title":"Sampling, Diffusions, and Stochastic Localization","created":"2023-05-18","cited_by_count":40,"area":null},{"id":"2410.07761","title":"$\\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models","created":"2024-10-10","cited_by_count":40,"area":"diffusion"},{"id":"2307.00467","title":"MissDiff: Training Diffusion Models on Tabular Data with Missing Values","created":"2023-07-02","cited_by_count":39,"area":"diffusion"},{"id":"2306.12360","title":"Protein Discovery with Discrete Walk-Jump Sampling","created":"2023-06-08","cited_by_count":38,"area":null},{"id":"2502.01384","title":"Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods","created":"2025-02-03","cited_by_count":38,"area":"diffusion"},{"id":"2410.08134","title":"Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction","created":"2024-10-10","cited_by_count":32,"area":"diffusion"},{"id":"2510.14973","title":"Attention Is All You Need for KV Cache in Diffusion LLMs","created":"2025-10-16","cited_by_count":32,"area":"inference"},{"id":"2504.16431","title":"Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion","created":"2025-04-23","cited_by_count":25,"area":"diffusion"},{"id":"2410.02321","title":"Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis","created":"2024-10-03","cited_by_count":24,"area":"diffusion"},{"id":"2509.20109","title":"Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving","created":"2025-09-24","cited_by_count":24,"area":"mllm"},{"id":"2505.21400","title":"Breaking AR's Sampling Bottleneck: Provable Acceleration via Diffusion Language Models","created":"2025-05-27","cited_by_count":23,"area":"diffusion"},{"id":"2506.00290","title":"DLM-One: Diffusion Language Models for One-Step Sequence Generation","created":"2025-05-30","cited_by_count":20,"area":"diffusion"},{"id":"2506.02318","title":"Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models","created":"2025-06-02","cited_by_count":20,"area":"diffusion"},{"id":"2605.18530","title":"Continuous Diffusion Scales Competitively with Discrete Diffusion for Language","created":"2026-05-18","cited_by_count":19,"area":"diffusion"},{"id":"2304.04820","title":"Binary Latent Diffusion","created":"2023-04-10","cited_by_count":18,"area":"diffusion"},{"id":"2506.03979","title":"Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach","created":"2025-06-04","cited_by_count":18,"area":"diffusion"},{"id":"2312.10431","title":"Continuous Diffusion for Mixed-Type Tabular Data","created":"2023-12-16","cited_by_count":17,"area":"diffusion"},{"id":"2503.09790","title":"Constrained Discrete Diffusion","created":"2025-03-12","cited_by_count":17,"area":"diffusion"},{"id":"2602.22661","title":"dLLM: Simple Diffusion Language Modeling","created":"2026-02-26","cited_by_count":14,"area":"diffusion"},{"id":"2601.15892","title":"Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model","created":"2026-01-22","cited_by_count":13,"area":null},{"id":"2406.11473","title":"Promises, Outlooks and Challenges of Diffusion Language Modeling","created":"2024-06-17","cited_by_count":12,"area":"diffusion"},{"id":"2405.17035","title":"Glauber Generative Model: Discrete Diffusion Models via Binary Classification","created":"2024-05-27","cited_by_count":11,"area":"diffusion"},{"id":"2506.01121","title":"Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation","created":"2025-06-01","cited_by_count":10,"area":"diffusion"},{"id":"2512.21446","title":"dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning","created":"2025-12-24","cited_by_count":10,"area":"diffusion"},{"id":"2412.13862","title":"Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model","created":"2024-12-18","cited_by_count":9,"area":"alignment"},{"id":"2505.19601","title":"Preference Optimization by Estimating the Ratio of the Data Distribution","created":"2025-05-26","cited_by_count":9,"area":"alignment"},{"id":"2506.10971","title":"What Exactly Does Guidance Do in Masked Discrete Diffusion Models","created":"2025-06-12","cited_by_count":9,"area":"diffusion"},{"id":"2405.03549","title":"Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models","created":"2024-05-06","cited_by_count":8,"area":"diffusion"},{"id":"2507.00425","title":"Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows","created":"2025-07-01","cited_by_count":8,"area":null},{"id":"2509.15188","title":"Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning","created":"2025-09-18","cited_by_count":8,"area":"diffusion"},{"id":"2509.19962","title":"Learnable Sampler Distillation for Discrete Diffusion Models","created":"2025-09-24","cited_by_count":8,"area":"diffusion"},{"id":"2602.19066","title":"IDLM: Inverse-distilled Diffusion Language Models","created":"2026-02-22","cited_by_count":8,"area":"diffusion"},{"id":"2310.02423","title":"Delta-AI: Local objectives for amortized inference in sparse graphical models","created":"2023-10-03","cited_by_count":7,"area":null},{"id":"2501.19040","title":"Towards the Worst-case Robustness of Large Language Models","created":"2025-01-31","cited_by_count":7,"area":null},{"id":"2410.02942","title":"SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups","created":"2024-10-03","cited_by_count":6,"area":"diffusion"},{"id":"2505.21892","title":"Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion","created":"2025-05-28","cited_by_count":6,"area":"diffusion"},{"id":"2509.21912","title":"Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching","created":"2025-09-26","cited_by_count":6,"area":"diffusion"},{"id":"2602.09424","title":"Reward-Guided Discrete Diffusion via Clean-Sample Markov Chain for Molecule and Biological Sequence Design","created":"2026-02-10","cited_by_count":6,"area":"diffusion"},{"id":"2605.29398","title":"GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models","created":"2026-05-28","cited_by_count":6,"area":"diffusion"},{"id":"2410.14758","title":"Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion","created":"2024-10-18","cited_by_count":5,"area":"diffusion"},{"id":"2411.00759","title":"Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching","created":"2024-11-01","cited_by_count":5,"area":"diffusion"},{"id":"2412.01019","title":"Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces","created":"2024-12-02","cited_by_count":5,"area":null},{"id":"2503.08120","title":"UniF$^2$ace: A Unified Fine-grained Face Understanding and Generation Model","created":"2025-03-11","cited_by_count":5,"area":null},{"id":"2509.25837","title":"Distillation of Large Language Models via Concrete Score Matching","created":"2025-09-30","cited_by_count":5,"area":null},{"id":"2510.10854","title":"Discrete State Diffusion Models: A Sample Complexity Perspective","created":"2025-10-12","cited_by_count":5,"area":"diffusion"},{"id":"2511.02083","title":"Watermarking Discrete Diffusion Language Models","created":"2025-11-03","cited_by_count":5,"area":"diffusion"},{"id":"2601.20125","title":"Membership Inference Attacks Against Fine-tuned Diffusion Language Models","created":"2026-01-27","cited_by_count":5,"area":"diffusion"},{"id":"2604.09921","title":"A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models","created":"2026-04-10","cited_by_count":5,"area":"diffusion"},{"id":"2409.09828","title":"Latent Diffusion Models for Controllable RNA Sequence Generation","created":"2024-09-15","cited_by_count":4,"area":"diffusion"},{"id":"2504.20754","title":"DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs","created":"2025-04-29","cited_by_count":4,"area":"diffusion"},{"id":"2510.21805","title":"DiffGRM: Diffusion-based Generative Recommendation Model","created":"2025-10-21","cited_by_count":4,"area":"diffusion"},{"id":"2604.26985","title":"Simple Self-Conditioning Adaptation for Masked Diffusion Models","created":"2026-04-28","cited_by_count":4,"area":"diffusion"},{"id":"2501.18528","title":"Joint Learning of Energy-based Models and their Partition Function","created":"2025-01-30","cited_by_count":3,"area":null},{"id":"2507.08333","title":"Token-Based Audio Inpainting via Discrete Diffusion","created":"2025-07-11","cited_by_count":3,"area":"diffusion"},{"id":"2509.13866","title":"Masked Diffusion Models as Energy Minimization","created":"2025-09-17","cited_by_count":3,"area":"diffusion"},{"id":"2509.26063","title":"Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation","created":"2025-09-30","cited_by_count":3,"area":"diffusion"},{"id":"2510.23106","title":"Sampling from Energy distributions with Target Concrete Score Identity","created":"2025-10-27","cited_by_count":3,"area":null},{"id":"2510.24088","title":"Information-Theoretic Discrete Diffusion","created":"2025-10-28","cited_by_count":3,"area":"diffusion"},{"id":"2511.12114","title":"Continuous-time Discrete-space Diffusion Model for Recommendation","created":"2025-11-15","cited_by_count":3,"area":"diffusion"},{"id":"2512.10877","title":"Guided Transfer Learning for Discrete Diffusion Models","created":"2025-12-11","cited_by_count":3,"area":"diffusion"},{"id":"2601.22519","title":"Corrected Samplers for Discrete Flow Models","created":"2026-01-30","cited_by_count":3,"area":"diffusion"},{"id":"2604.15694","title":"Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction","created":"2026-04-17","cited_by_count":3,"area":"diffusion"},{"id":"2608.20635","title":"Minimax Optimality of Score-Entropy Discrete Diffusion","created":"2026-08-21","cited_by_count":3,"area":"diffusion"},{"id":"2410.08207","title":"DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models","created":"2024-10-10","cited_by_count":2,"area":"diffusion"},{"id":"2509.09451","title":"Composable Score-based Graph Diffusion Model for Multi-Conditional Molecular Generation","created":"2025-09-11","cited_by_count":2,"area":"diffusion"},{"id":"2510.03289","title":"Why mask diffusion does not work","created":"2025-09-29","cited_by_count":2,"area":"diffusion"},{"id":"2510.15982","title":"AMiD: Knowledge Distillation for LLMs with $\\alpha$-mixture Assistant Distribution","created":"2025-10-13","cited_by_count":2,"area":"distill"},{"id":"2510.22926","title":"Simple Denoising Diffusion Language Models","created":"2025-10-27","cited_by_count":2,"area":"diffusion"},{"id":"2512.05092","title":"Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction","created":"2025-12-04","cited_by_count":2,"area":"diffusion"},{"id":"2603.15340","title":"DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models","created":"2026-03-16","cited_by_count":2,"area":"diffusion"},{"id":"2604.00666","title":"TRIMS: Trajectory-Ranked Instruction Masked Supervision for Diffusion Language Models","created":"2026-04-01","cited_by_count":2,"area":"diffusion"},{"id":"2605.08116","title":"The Safety-Aware Denoiser for Text Diffusion Models","created":"2026-04-28","cited_by_count":2,"area":"diffusion"}],"next_cursor":"100"}