{"total":26,"rows":[{"id":"2506.10892","title":"The Diffusion Duality","created":"2025-06-12","cited_by_count":135,"area":"diffusion"},{"id":"2509.01025","title":"Any-Order Flexible Length Masked Diffusion","created":"2025-08-31","cited_by_count":51,"area":"diffusion"},{"id":"2510.09541","title":"SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models","created":"2025-10-10","cited_by_count":41,"area":"diffusion"},{"id":"2509.23653","title":"Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models","created":"2025-09-28","cited_by_count":37,"area":"diffusion"},{"id":"2604.11748","title":"LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling","created":"2026-04-13","cited_by_count":36,"area":"diffusion"},{"id":"2512.10858","title":"Scaling Behavior of Discrete Diffusion Language Models","created":"2025-12-11","cited_by_count":35,"area":"diffusion"},{"id":"2508.09138","title":"Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models","created":"2025-08-12","cited_by_count":33,"area":"diffusion"},{"id":"2512.14067","title":"Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed","created":"2025-12-16","cited_by_count":33,"area":"diffusion"},{"id":"2508.08712","title":"A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models","created":"2025-08-12","cited_by_count":30,"area":"diffusion"},{"id":"2602.15014","title":"Scaling Beyond Masked Diffusion Language Models","created":"2026-02-16","cited_by_count":27,"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":"2512.13586","title":"ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding","created":"2025-12-15","cited_by_count":18,"area":"diffusion"},{"id":"2602.21185","title":"The Diffusion Duality, Chapter II: $\\Psi$-Samplers","created":"2026-02-24","cited_by_count":12,"area":"diffusion"},{"id":"2510.18087","title":"Planned Diffusion","created":"2025-10-20","cited_by_count":9,"area":"diffusion"},{"id":"2602.19066","title":"IDLM: Inverse-distilled Diffusion Language Models","created":"2026-02-22","cited_by_count":8,"area":"diffusion"},{"id":"2603.23507","title":"Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes","created":"2026-03-04","cited_by_count":7,"area":"diffusion"},{"id":"2603.12554","title":"Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages","created":"2026-03-13","cited_by_count":4,"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":"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":"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":"2602.12586","title":"Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models","created":"2026-02-13","cited_by_count":1,"area":"diffusion"},{"id":"2604.02340","title":"Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models","created":"2026-02-04","cited_by_count":1,"area":"diffusion"},{"id":"2608.07594","title":"Scaling Inherently Interpretable Language Models","created":"2026-08-06","cited_by_count":1,"area":"diffusion"},{"id":"2602.16092","title":"Why Any-Order Autoregressive Models Need Two-Stream Attention: A Structural-Semantic Tradeoff","created":"2026-02-17","cited_by_count":0,"area":"diffusion"},{"id":"2604.05250","title":"DualDiffusion: A Speculative Decoding Strategy for Masked Diffusion Models","created":"2026-04-06","cited_by_count":0,"area":"diffusion"},{"id":"2610.12340","title":"Ambient Discrete Diffusion: Using the Wrong Data at the Right Time for Data Efficient Learning","created":"2026-10-08","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}