{"total":18,"rows":[{"id":"2508.15487","title":"Dream 7B: Diffusion Large Language Models","created":"2025-08-21","cited_by_count":544,"area":"diffusion"},{"id":"2410.18514","title":"Scaling up Masked Diffusion Models on Text","created":"2024-10-24","cited_by_count":199,"area":"diffusion"},{"id":"2509.01142","title":"Dream-Coder 7B: An Open Diffusion Language Model for Code","created":"2025-09-01","cited_by_count":81,"area":"diffusion"},{"id":"2507.15857","title":"Diffusion Beats Autoregressive in Data-Constrained Settings","created":"2025-07-21","cited_by_count":63,"area":"diffusion"},{"id":"2509.24389","title":"LLaDA-MoE: A Sparse MoE Diffusion Language Model","created":"2025-09-29","cited_by_count":57,"area":"diffusion"},{"id":"2602.15014","title":"Scaling Beyond Masked Diffusion Language Models","created":"2026-02-16","cited_by_count":27,"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":"2502.09767","title":"Non-Markovian Discrete Diffusion with Causal Language Models","created":"2025-02-13","cited_by_count":5,"area":"diffusion"},{"id":"2608.02602","title":"AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling","created":"2026-08-03","cited_by_count":5,"area":"diffusion"},{"id":"2601.19657","title":"One Token Is Enough: Improving Diffusion Language Models with a Sink Token","created":"2026-01-27","cited_by_count":4,"area":"diffusion"},{"id":"2606.19005","title":"Sumi: Open Uniform Diffusion Language Model from Scratch","created":"2026-06-17","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":"2602.17664","title":"Sink-Aware Pruning for Diffusion Language Models","created":"2026-02-19","cited_by_count":2,"area":"diffusion"},{"id":"2605.26106","title":"Looped Diffusion Language Models","created":"2026-05-25","cited_by_count":1,"area":"diffusion"},{"id":"2609.19356","title":"How to Guide Your Language Flow","created":"2026-09-16","cited_by_count":0,"area":"diffusion"},{"id":"2609.35817","title":"Less Uniform Discrete Diffusion is More Powerful and Scalable","created":"2026-09-21","cited_by_count":0,"area":"diffusion"},{"id":"2610.13834","title":"On the Design Space of Continuous Diffusion Language Models","created":"2026-10-09","cited_by_count":0,"area":"diffusion"},{"id":"2610.17590","title":"Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}