{"total":82,"rows":[{"id":"2407.01392","title":"Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion","created":"2024-07-01","cited_by_count":681,"area":"diffusion"},{"id":"2506.08009","title":"Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion","created":"2025-06-09","cited_by_count":625,"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":"2505.19223","title":"LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models","created":"2025-05-25","cited_by_count":285,"area":"diffusion"},{"id":"2505.15781","title":"dKV-Cache: The Cache for Diffusion Language Models","created":"2025-05-21","cited_by_count":143,"area":"diffusion"},{"id":"2402.09470","title":"Rolling Diffusion Models","created":"2024-02-12","cited_by_count":104,"area":"diffusion"},{"id":"2402.18567","title":"Diffusion Language Models Are Versatile Protein Learners","created":"2024-02-28","cited_by_count":98,"area":"diffusion"},{"id":"2403.14404","title":"Physics-Informed Diffusion Models","created":"2024-03-21","cited_by_count":90,"area":"diffusion"},{"id":"2508.10875","title":"A Survey on Diffusion Language Models","created":"2025-08-14","cited_by_count":78,"area":"diffusion"},{"id":"2306.04542","title":"On the Design Fundamentals of Diffusion Models: A Survey","created":"2023-06-07","cited_by_count":60,"area":"diffusion"},{"id":"2502.03930","title":"DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation","created":"2025-02-06","cited_by_count":57,"area":"diffusion"},{"id":"2406.04806","title":"Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models","created":"2024-06-07","cited_by_count":56,"area":"diffusion"},{"id":"2503.07418","title":"AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion","created":"2025-03-10","cited_by_count":55,"area":"diffusion"},{"id":"2410.01949","title":"Discrete Copula Diffusion","created":"2024-10-02","cited_by_count":54,"area":"diffusion"},{"id":"2410.03601","title":"How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework","created":"2024-10-04","cited_by_count":48,"area":"diffusion"},{"id":"2502.00234","title":"Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms","created":"2025-02-01","cited_by_count":47,"area":"diffusion"},{"id":"2605.10938","title":"ELF: Embedded Language Flows","created":"2026-05-11","cited_by_count":45,"area":"diffusion"},{"id":"2308.12219","title":"Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning","created":"2023-08-23","cited_by_count":39,"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":"2310.17680","title":"CodeFusion: A Pre-trained Diffusion Model for Code Generation","created":"2023-10-26","cited_by_count":31,"area":"diffusion"},{"id":"2506.21170","title":"Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling","created":"2025-06-26","cited_by_count":25,"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":"2506.07634","title":"SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement","created":"2025-06-09","cited_by_count":23,"area":"diffusion"},{"id":"2402.19097","title":"TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings","created":"2024-02-29","cited_by_count":22,"area":"diffusion"},{"id":"2411.04873","title":"Boosting Latent Diffusion with Perceptual Objectives","created":"2024-11-06","cited_by_count":20,"area":"diffusion"},{"id":"2503.10704","title":"Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework","created":"2025-03-12","cited_by_count":20,"area":"diffusion"},{"id":"2506.00290","title":"DLM-One: Diffusion Language Models for One-Step Sequence Generation","created":"2025-05-30","cited_by_count":20,"area":"diffusion"},{"id":"2312.10431","title":"Continuous Diffusion for Mixed-Type Tabular Data","created":"2023-12-16","cited_by_count":17,"area":"diffusion"},{"id":"2509.23924","title":"Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step","created":"2025-09-28","cited_by_count":17,"area":"diffusion"},{"id":"2506.20024","title":"Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics","created":"2025-06-24","cited_by_count":13,"area":"diffusion"},{"id":"2411.03177","title":"On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models","created":"2024-11-05","cited_by_count":12,"area":"diffusion"},{"id":"2503.07699","title":"RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories","created":"2025-03-10","cited_by_count":12,"area":"diffusion"},{"id":"2408.09027","title":"Efficient Autoregressive Audio Modeling via Next-Scale Prediction","created":"2024-08-16","cited_by_count":11,"area":"diffusion"},{"id":"2412.17522","title":"DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak","created":"2024-12-23","cited_by_count":9,"area":"diffusion"},{"id":"2503.00951","title":"Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models","created":"2025-03-02","cited_by_count":9,"area":"diffusion"},{"id":"2407.10998","title":"Discrete Diffusion Language Model for Efficient Text Summarization","created":"2024-06-25","cited_by_count":8,"area":"diffusion"},{"id":"2408.03124","title":"CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems","created":"2024-07-31","cited_by_count":8,"area":"diffusion"},{"id":"2505.18853","title":"Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation","created":"2025-05-24","cited_by_count":8,"area":"diffusion"},{"id":"2509.15188","title":"Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning","created":"2025-09-18","cited_by_count":8,"area":"diffusion"},{"id":"2602.19066","title":"IDLM: Inverse-distilled Diffusion Language Models","created":"2026-02-22","cited_by_count":8,"area":"diffusion"},{"id":"2602.05859","title":"DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders","created":"2026-02-05","cited_by_count":7,"area":"diffusion"},{"id":"2401.17181","title":"Transfer Learning for Text Diffusion Models","created":"2024-01-30","cited_by_count":6,"area":"diffusion"},{"id":"2411.06438","title":"Conditional [MASK] Discrete Diffusion Language Model","created":"2024-11-10","cited_by_count":5,"area":"diffusion"},{"id":"2601.20125","title":"Membership Inference Attacks Against Fine-tuned Diffusion Language Models","created":"2026-01-27","cited_by_count":5,"area":"diffusion"},{"id":"2605.07748","title":"TextLDM: Language Modeling with Continuous Latent Diffusion","created":"2026-05-08","cited_by_count":5,"area":"diffusion"},{"id":"2401.01130","title":"Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models","created":"2024-01-02","cited_by_count":4,"area":"diffusion"},{"id":"2505.17560","title":"Deeper Diffusion Models Amplify Bias","created":"2025-05-23","cited_by_count":4,"area":"diffusion"},{"id":"2505.22165","title":"Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes","created":"2025-05-28","cited_by_count":4,"area":"diffusion"},{"id":"2512.22630","title":"On the Role of Discreteness in Diffusion LLMs","created":"2025-12-27","cited_by_count":4,"area":"diffusion"},{"id":"2406.11100","title":"An Analysis on Quantizing Diffusion Transformers","created":"2024-06-16","cited_by_count":3,"area":"diffusion"},{"id":"2505.16298","title":"Flow Matching based Sequential Recommender Model","created":"2025-05-22","cited_by_count":3,"area":"diffusion"},{"id":"2602.18589","title":"DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction","created":"2026-02-20","cited_by_count":3,"area":"diffusion"},{"id":"2605.18204","title":"Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster","created":"2026-05-18","cited_by_count":3,"area":"diffusion"},{"id":"2510.10149","title":"Robust Learning of Diffusion Models with Extremely Noisy Conditions","created":"2025-10-11","cited_by_count":2,"area":"diffusion"},{"id":"2510.26200","title":"Don't Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation","created":"2025-10-30","cited_by_count":2,"area":"diffusion"},{"id":"2603.27281","title":"HiFlow: Tokenization-Free Scale-Wise Autoregressive Policy Learning via Flow Matching","created":"2026-03-28","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":"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":"2410.16119","title":"SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation","created":"2024-10-21","cited_by_count":1,"area":"diffusion"},{"id":"2504.19433","title":"GTSD: Generative Text Steganography Based on Diffusion Model","created":"2025-04-28","cited_by_count":1,"area":"diffusion"},{"id":"2505.14513","title":"Latent Flow Transformer","created":"2025-05-20","cited_by_count":1,"area":"diffusion"},{"id":"2508.10944","title":"Non-asymptotic convergence bound of conditional diffusion models","created":"2025-08-13","cited_by_count":1,"area":"diffusion"},{"id":"2510.04365","title":"Diffusion^2: Dual Diffusion Model with Uncertainty-Aware Adaptive Noise for Momentary Trajectory Prediction","created":"2025-10-05","cited_by_count":1,"area":"diffusion"},{"id":"2602.05319","title":"Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective","created":"2026-02-05","cited_by_count":1,"area":"diffusion"},{"id":"2605.19726","title":"Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention","created":"2026-05-19","cited_by_count":1,"area":"diffusion"},{"id":"2605.26535","title":"Recursive Flow Matching","created":"2026-05-26","cited_by_count":1,"area":"diffusion"},{"id":"2404.05212","title":"DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation","created":"2024-04-08","cited_by_count":0,"area":"diffusion"},{"id":"2411.15271","title":"EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration","created":"2024-11-22","cited_by_count":0,"area":"diffusion"},{"id":"2508.20379","title":"Audio-Guided Visual Editing with Complex Multi-Modal Prompts","created":"2025-08-28","cited_by_count":0,"area":"diffusion"},{"id":"2509.23718","title":"Diff-3DCap: Shape Captioning with Diffusion Models","created":"2025-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2512.10038","title":"Diffusion Is Your Friend in Show, Suggest and Tell","created":"2025-12-10","cited_by_count":0,"area":"diffusion"},{"id":"2602.01807","title":"Sentence Curve Language Models","created":"2026-02-02","cited_by_count":0,"area":"diffusion"},{"id":"2603.10093","title":"Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation","created":"2026-03-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.00938","title":"Fusing Urban Structure and Semantics: A Conditional Diffusion Model for Cross-City OD Matrix Generation","created":"2026-05-01","cited_by_count":0,"area":"diffusion"},{"id":"2606.00377","title":"Score-Control for Hallucination Reduction in Diffusion Models","created":"2026-05-29","cited_by_count":0,"area":"diffusion"},{"id":"2606.07079","title":"AsyncPatch Diffusion: spatially-flexible image generation","created":"2026-06-05","cited_by_count":0,"area":"diffusion"},{"id":"2608.25311","title":"Prefix-Denoising Consistency: Test-Time Verification for Diffusion Language Models","created":"2026-08-26","cited_by_count":0,"area":"diffusion"},{"id":"2609.35407","title":"BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2610.00894","title":"Clock Diffusion: Efficient Semi-Autoregressive Continuous Diffusion Language Models","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.09145","title":"Noise Your Prompt: Noising Conditioning Tokens in Continuous Diffusion Language Models","created":"2026-10-06","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":"2610.15667","title":"Rate-Resolved Text Evaluation with Masked Diffusion Language Models","created":"2026-10-11","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}