{"total":28,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2406.04329","title":"Simplified and Generalized Masked Diffusion for Discrete Data","created":"2024-06-06","cited_by_count":626,"area":"diffusion"},{"id":"2503.09573","title":"Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models","created":"2025-03-12","cited_by_count":409,"area":"diffusion"},{"id":"2406.03736","title":"Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data","created":"2024-06-06","cited_by_count":381,"area":"diffusion"},{"id":"2110.02037","title":"Autoregressive Diffusion Models","created":"2021-10-05","cited_by_count":210,"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":"2505.24857","title":"Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking","created":"2025-05-30","cited_by_count":131,"area":"diffusion"},{"id":"2502.03540","title":"Path Planning for Masked Diffusion Model Sampling","created":"2025-02-05","cited_by_count":80,"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":"2510.03929","title":"Self-Speculative Masked Diffusions","created":"2025-10-04","cited_by_count":11,"area":"diffusion"},{"id":"2502.06379","title":"Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo","created":"2025-02-10","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":"2603.01367","title":"DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking","created":"2026-03-02","cited_by_count":9,"area":"diffusion"},{"id":"2310.01400","title":"Sequential Data Generation with Groupwise Diffusion Process","created":"2023-10-02","cited_by_count":5,"area":"diffusion"},{"id":"2310.15817","title":"Discriminator Guidance for Autoregressive Diffusion Models","created":"2023-10-24","cited_by_count":5,"area":"diffusion"},{"id":"2601.16971","title":"Auto-Regressive Masked Diffusion Models","created":"2026-01-23","cited_by_count":4,"area":"diffusion"},{"id":"2510.24088","title":"Information-Theoretic Discrete Diffusion","created":"2025-10-28","cited_by_count":3,"area":"diffusion"},{"id":"2605.24292","title":"TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models","created":"2026-05-22","cited_by_count":2,"area":"diffusion"},{"id":"2606.02133","title":"Variational Learning for Insertion-based Generation","created":"2026-06-01","cited_by_count":2,"area":"diffusion"},{"id":"2607.01775","title":"Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding","created":"2026-07-02","cited_by_count":2,"area":"diffusion"},{"id":"2602.18695","title":"Insertion Based Sequence Generation with Learnable Order Dynamics","created":"2026-02-21","cited_by_count":1,"area":"diffusion"},{"id":"2606.22976","title":"Understanding Parallel Samplers in Masked Diffusion via Random Walks on Graphs","created":"2026-06-22","cited_by_count":1,"area":"diffusion"},{"id":"2607.01693","title":"A Mathematical Introduction to Diffusion Models","created":"2026-07-02","cited_by_count":1,"area":"diffusion"},{"id":"2605.09303","title":"Path-Dependent Denoising: A Non-Conservative Field Perspective on Order Collapse in Diffusion Language Models","created":"2026-05-10","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":"2607.16207","title":"JUMP: Single-Pass Membership Inference on Fine-Tuned Diffusion Language Models","created":"2026-05-09","cited_by_count":0,"area":"diffusion"},{"id":"2607.24507","title":"UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective","created":"2026-07-27","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}