{"total":19,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2412.03859","title":"CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation","created":"2024-12-05","cited_by_count":60,"area":"diffusion"},{"id":"2412.07720","title":"ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer","created":"2024-12-10","cited_by_count":45,"area":"diffusion"},{"id":"2512.10858","title":"Scaling Behavior of Discrete Diffusion Language Models","created":"2025-12-11","cited_by_count":35,"area":"diffusion"},{"id":"2510.03280","title":"Training Optimal Large Diffusion Language Models","created":"2025-09-28","cited_by_count":25,"area":"diffusion"},{"id":"2411.15488","title":"Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation Benchmark","created":"2024-11-23","cited_by_count":14,"area":"diffusion"},{"id":"2510.19376","title":"Optimization Benchmark for Diffusion Models on Dynamical Systems","created":"2025-10-22","cited_by_count":7,"area":"diffusion"},{"id":"2602.04873","title":"Laminating Representation Autoencoders for Efficient Diffusion","created":"2026-02-04","cited_by_count":7,"area":"diffusion"},{"id":"2505.15270","title":"Scaling Diffusion Transformers Efficiently via $\\mu$P","created":"2025-05-21","cited_by_count":6,"area":"diffusion"},{"id":"2507.02714","title":"FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models","created":"2025-07-03","cited_by_count":4,"area":"diffusion"},{"id":"2606.26493","title":"Nemotron-Labs-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context","created":"2026-06-25","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":"2605.31204","title":"Probabilistic Precipitation Nowcasting with Rectified Flow Transformers","created":"2026-05-29","cited_by_count":2,"area":"diffusion"},{"id":"2608.07594","title":"Scaling Inherently Interpretable Language Models","created":"2026-08-06","cited_by_count":1,"area":"diffusion"},{"id":"2503.21069","title":"Efficient Multi-Instance Generation with Janus-Pro-Dirven Prompt Parsing","created":"2025-03-27","cited_by_count":0,"area":"diffusion"},{"id":"2505.05209","title":"EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution","created":"2025-05-08","cited_by_count":0,"area":"diffusion"},{"id":"2507.20987","title":"JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1","created":"2025-07-28","cited_by_count":0,"area":"diffusion"},{"id":"2608.04624","title":"Masked diffusion enables coherent beat tracking","created":"2026-08-05","cited_by_count":0,"area":"diffusion"},{"id":"2609.23055","title":"Optimizers for Diffusion Models: A Controlled Benchmark","created":"2026-09-19","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}