{"total":36,"rows":[{"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":"2510.22852","title":"Encoder-Decoder Diffusion Language Models for Efficient Training and Inference","created":"2025-10-26","cited_by_count":24,"area":"diffusion"},{"id":"2511.21103","title":"From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language Models","created":"2025-11-26","cited_by_count":23,"area":"diffusion"},{"id":"2603.22248","title":"Confidence-Based Decoding is Provably Efficient for Diffusion Language Models","created":"2026-03-23","cited_by_count":18,"area":"diffusion"},{"id":"2509.10396","title":"Inpainting-Guided Policy Optimization for Diffusion Large Language Models","created":"2025-09-12","cited_by_count":16,"area":"diffusion"},{"id":"2510.17206","title":"Soft-Masked Diffusion Language Models","created":"2025-10-20","cited_by_count":16,"area":"diffusion"},{"id":"2509.14353","title":"DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction via Guided Diffusion","created":"2025-09-17","cited_by_count":15,"area":"diffusion"},{"id":"2606.25331","title":"Improved Large Language Diffusion Models","created":"2026-06-24","cited_by_count":14,"area":"diffusion"},{"id":"2510.18087","title":"Planned Diffusion","created":"2025-10-20","cited_by_count":9,"area":"diffusion"},{"id":"2511.23021","title":"Masked Diffusion for Generative Recommendation","created":"2025-11-28","cited_by_count":7,"area":"diffusion"},{"id":"2602.21472","title":"The Design Space of Tri-Modal Masked Diffusion Models","created":"2026-02-25","cited_by_count":6,"area":"diffusion"},{"id":"2601.19577","title":"MaDiS: Taming Masked Diffusion Language Models for Sign Language Generation","created":"2026-01-27","cited_by_count":4,"area":"diffusion"},{"id":"2603.20216","title":"Locally Coherent Parallel Decoding in Diffusion Language Models","created":"2026-03-03","cited_by_count":3,"area":"diffusion"},{"id":"2601.12247","title":"Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models","created":"2026-01-18","cited_by_count":2,"area":"diffusion"},{"id":"2601.15417","title":"Ambient Dataloops: Generative Models for Dataset Refinement","created":"2026-01-21","cited_by_count":2,"area":"diffusion"},{"id":"2604.05551","title":"FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation--Full Version","created":"2026-04-07","cited_by_count":2,"area":"diffusion"},{"id":"2605.29233","title":"BlockBatch: Multi-Scale Consensus Decoding for Efficient Diffusion Language Model Inference","created":"2026-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2606.29275","title":"Adaptive Block Diffusion: Resolving Training-Inference Mismatch in Diffusion Language Models","created":"2026-06-28","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":"2509.24974","title":"Double Descent as a Lens for Sample Efficiency in Autoregressive vs. Discrete Diffusion Models","created":"2025-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2602.15870","title":"VDLM: Variable Diffusion LMs via Robust Latent-to-Text Rendering","created":"2026-01-27","cited_by_count":1,"area":"diffusion"},{"id":"2605.12522","title":"Differences in Text Generated by Diffusion and Autoregressive Language Models","created":"2026-04-04","cited_by_count":1,"area":"diffusion"},{"id":"2605.22717","title":"Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators","created":"2026-05-21","cited_by_count":1,"area":"diffusion"},{"id":"2608.17286","title":"Abra: Scaling Diffusion Image Training","created":"2026-08-18","cited_by_count":1,"area":"diffusion"},{"id":"2603.16077","title":"MDM-Prime-v2: Binary Encoding and Index Shuffling Enable Scaling of Diffusion Language Models","created":"2026-03-17","cited_by_count":0,"area":"diffusion"},{"id":"2604.14001","title":"Diffusion Language Models for Speech Recognition","created":"2026-04-15","cited_by_count":0,"area":"diffusion"},{"id":"2605.13026","title":"Understanding and Accelerating the Training of Masked Diffusion Language Models","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.25638","title":"Reinforcement Learning from Denoising Feedback","created":"2026-05-25","cited_by_count":0,"area":"diffusion"},{"id":"2605.30046","title":"Masked Diffusion Modeling for Anomaly Detection","created":"2026-05-28","cited_by_count":0,"area":"diffusion"},{"id":"2607.21519","title":"Diffusion Language Model for Recommendation","created":"2026-07-23","cited_by_count":0,"area":"diffusion"},{"id":"2608.28404","title":"How Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of Video Diffusion Models","created":"2026-08-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.24657","title":"Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models","created":"2026-09-21","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"},{"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"},{"id":"2610.17831","title":"Diff Diffusion: Predicting Edit Paths with Diffusion Models for Efficient Code Editing","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}