{"total":49,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2506.10892","title":"The Diffusion Duality","created":"2025-06-12","cited_by_count":135,"area":"diffusion"},{"id":"2505.24857","title":"Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking","created":"2025-05-30","cited_by_count":131,"area":"diffusion"},{"id":"2501.09685","title":"Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review","created":"2025-01-16","cited_by_count":88,"area":"diffusion"},{"id":"2502.03540","title":"Path Planning for Masked Diffusion Model Sampling","created":"2025-02-05","cited_by_count":80,"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":"2511.05664","title":"KLASS: KL-Guided Fast Inference in Masked Diffusion Models","created":"2025-11-07","cited_by_count":47,"area":"diffusion"},{"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":"2510.01384","title":"Fine-Tuning Masked Diffusion for Provable Self-Correction","created":"2025-10-01","cited_by_count":39,"area":"diffusion"},{"id":"2502.01384","title":"Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods","created":"2025-02-03","cited_by_count":38,"area":"diffusion"},{"id":"2510.01329","title":"Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling","created":"2025-10-01","cited_by_count":34,"area":"diffusion"},{"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":"2505.18495","title":"Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking","created":"2025-05-24","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":"2509.25035","title":"Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct","created":"2025-09-29","cited_by_count":16,"area":"diffusion"},{"id":"2506.08316","title":"Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion","created":"2025-06-10","cited_by_count":15,"area":"diffusion"},{"id":"2509.23405","title":"Planner Aware Path Learning in Diffusion Language Models Training","created":"2025-09-27","cited_by_count":14,"area":"diffusion"},{"id":"2510.25544","title":"Error Bounds and Optimal Schedules for Masked Diffusions with Factorized Approximations","created":"2025-10-29","cited_by_count":14,"area":"diffusion"},{"id":"2602.11590","title":"Learn from Your Mistakes: Self-Correcting Masked Diffusion Models","created":"2026-02-12","cited_by_count":13,"area":"diffusion"},{"id":"2605.22765","title":"Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation","created":"2026-05-21","cited_by_count":13,"area":"diffusion"},{"id":"2503.21592","title":"Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation","created":"2025-03-27","cited_by_count":10,"area":"diffusion"},{"id":"2509.19962","title":"Learnable Sampler Distillation for Discrete Diffusion Models","created":"2025-09-24","cited_by_count":8,"area":"diffusion"},{"id":"2511.07390","title":"A Diffusion Model to Shrink Proteins While Maintaining Their Function","created":"2025-11-10","cited_by_count":7,"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":"2503.15457","title":"Di$\\mathtt{[M]}$O: Distilling Masked Diffusion Models into One-step Generator","created":"2025-03-19","cited_by_count":5,"area":"diffusion"},{"id":"2510.08369","title":"Guided Star-Shaped Masked Diffusion","created":"2025-10-09","cited_by_count":5,"area":"diffusion"},{"id":"2410.14710","title":"G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving","created":"2024-10-09","cited_by_count":4,"area":"diffusion"},{"id":"2510.02692","title":"Fine-Tuning Diffusion Models via Intermediate Distribution Shaping","created":"2025-10-03","cited_by_count":4,"area":"diffusion"},{"id":"2512.12168","title":"Diffusion Language Model Inference with Monte Carlo Tree Search","created":"2025-12-13","cited_by_count":4,"area":"diffusion"},{"id":"2604.10567","title":"Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models","created":"2026-04-12","cited_by_count":4,"area":"diffusion"},{"id":"2608.23554","title":"Provably adaptive sampling with uniform and remasking discrete diffusion models","created":"2026-08-24","cited_by_count":4,"area":"diffusion"},{"id":"2509.13866","title":"Masked Diffusion Models as Energy Minimization","created":"2025-09-17","cited_by_count":3,"area":"diffusion"},{"id":"2511.19152","title":"Masked Diffusion Models are Secretly Learned-Order Autoregressive Models","created":"2025-11-24","cited_by_count":3,"area":"diffusion"},{"id":"2602.06849","title":"Improved Sampling Schedules for Discrete Diffusion Models","created":"2026-02-06","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":"2510.22926","title":"Simple Denoising Diffusion Language Models","created":"2025-10-27","cited_by_count":2,"area":"diffusion"},{"id":"2602.02927","title":"Training-Free Self-Correction for Multimodal Masked Diffusion Models","created":"2026-02-02","cited_by_count":2,"area":"diffusion"},{"id":"2606.08357","title":"Forward-Free Diffusion Language Models with BPTT-Free Looped Refinement","created":"2026-06-06","cited_by_count":2,"area":"diffusion"},{"id":"2606.13565","title":"A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding","created":"2026-06-11","cited_by_count":2,"area":"diffusion"},{"id":"2601.06428","title":"BackPlay: Head-Only Look-Back Self-Correction for Diffusion Language Models","created":"2026-01-10","cited_by_count":1,"area":"diffusion"},{"id":"2602.19619","title":"Is Your Diffusion Sampler Actually Correct? A Sampler-Centric Evaluation of Discrete Diffusion Language Models","created":"2026-02-23","cited_by_count":1,"area":"diffusion"},{"id":"2603.02230","title":"Generalized Discrete Diffusion with Self-Correction","created":"2026-02-13","cited_by_count":1,"area":"diffusion"},{"id":"2605.27352","title":"From Scores to Gibbs Correctors: Accelerating Uniform-Rate Discrete Diffusion Models","created":"2026-05-26","cited_by_count":1,"area":"diffusion"},{"id":"2601.02799","title":"Stratified Hazard Sampling: Minimal-Variance Event Scheduling for CTMC/DTMC Discrete Diffusion and Flow Models","created":"2026-01-06","cited_by_count":0,"area":"diffusion"},{"id":"2605.26582","title":"On the Error-Correcting Effects of Stochasticity in Discrete Diffusion","created":"2026-05-26","cited_by_count":0,"area":"diffusion"},{"id":"2606.02241","title":"BlockGen: Flexible Blockwise Sequence Modeling with Hybrid Samplers","created":"2026-06-01","cited_by_count":0,"area":"diffusion"},{"id":"2606.06031","title":"NAVIRA: Decoupled Stochastic Remasking for Masked Diffusion Language Models","created":"2026-06-04","cited_by_count":0,"area":"diffusion"},{"id":"2606.24140","title":"A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching","created":"2026-06-23","cited_by_count":0,"area":"diffusion"},{"id":"2610.01275","title":"Know When to Hold 'em: Correct-Token Retention in Uniform-State Diffusion Language Models","created":"2026-10-01","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}