{"total":112,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2406.07524","title":"Simple and Effective Masked Diffusion Language Models","created":"2024-06-11","cited_by_count":848,"area":"diffusion"},{"id":"2310.16834","title":"Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution","created":"2023-10-25","cited_by_count":745,"area":"diffusion"},{"id":"2406.04329","title":"Simplified and Generalized Masked Diffusion for Discrete Data","created":"2024-06-06","cited_by_count":626,"area":"diffusion"},{"id":"2508.15487","title":"Dream 7B: Diffusion Large Language Models","created":"2025-08-21","cited_by_count":544,"area":"diffusion"},{"id":"2410.17891","title":"Scaling Diffusion Language Models via Adaptation from Autoregressive Models","created":"2024-10-23","cited_by_count":274,"area":"diffusion"},{"id":"2502.06768","title":"Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions","created":"2025-02-10","cited_by_count":214,"area":"diffusion"},{"id":"2506.20639","title":"DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation","created":"2025-06-25","cited_by_count":187,"area":"diffusion"},{"id":"2412.10193","title":"Simple Guidance Mechanisms for Discrete Diffusion Models","created":"2024-12-13","cited_by_count":155,"area":"diffusion"},{"id":"2505.24857","title":"Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking","created":"2025-05-30","cited_by_count":131,"area":"diffusion"},{"id":"2402.18567","title":"Diffusion Language Models Are Versatile Protein Learners","created":"2024-02-28","cited_by_count":98,"area":"diffusion"},{"id":"2410.21357","title":"Energy-Based Diffusion Language Models for Text Generation","created":"2024-10-28","cited_by_count":89,"area":"diffusion"},{"id":"2402.10210","title":"Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation","created":"2024-02-15","cited_by_count":85,"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":"2502.03540","title":"Path Planning for Masked Diffusion Model Sampling","created":"2025-02-05","cited_by_count":80,"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":"2309.08895","title":"CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications","created":"2023-09-16","cited_by_count":59,"area":"diffusion"},{"id":"2407.21243","title":"Informed Correctors for Discrete Diffusion Models","created":"2024-07-30","cited_by_count":57,"area":"diffusion"},{"id":"2501.06158","title":"GenMol: A Drug Discovery Generalist with Discrete Diffusion","created":"2025-01-10","cited_by_count":50,"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":"2502.09622","title":"Theoretical Benefit and Limitation of Diffusion Language Model","created":"2025-02-13","cited_by_count":47,"area":"diffusion"},{"id":"2303.06574","title":"Diffusion Models for Non-autoregressive Text Generation: A Survey","created":"2023-03-12","cited_by_count":44,"area":"diffusion"},{"id":"2402.08095","title":"Convergence Analysis of Discrete Diffusion Model: Exact Implementation through Uniformization","created":"2024-02-12","cited_by_count":44,"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":"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":"2510.01384","title":"Fine-Tuning Masked Diffusion for Provable Self-Correction","created":"2025-10-01","cited_by_count":39,"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":"2310.05793","title":"DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models","created":"2023-10-09","cited_by_count":36,"area":"diffusion"},{"id":"2510.01329","title":"Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling","created":"2025-10-01","cited_by_count":34,"area":"diffusion"},{"id":"2502.13917","title":"TESS 2: A Large-Scale Generalist Diffusion Language Model","created":"2025-02-19","cited_by_count":30,"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":"2504.16431","title":"Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion","created":"2025-04-23","cited_by_count":25,"area":"diffusion"},{"id":"2410.02321","title":"Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis","created":"2024-10-03","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":"2304.04746","title":"A Cheaper and Better Diffusion Language Model with Soft-Masked Noise","created":"2023-04-10","cited_by_count":21,"area":"diffusion"},{"id":"2305.04044","title":"Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation","created":"2023-05-06","cited_by_count":21,"area":"diffusion"},{"id":"2508.10684","title":"MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control","created":"2025-08-14","cited_by_count":21,"area":"diffusion"},{"id":"2312.09193","title":"Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time","created":"2023-12-14","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":"2506.02318","title":"Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models","created":"2025-06-02","cited_by_count":20,"area":"diffusion"},{"id":"2305.09161","title":"CDDM: Channel Denoising Diffusion Models for Wireless Communications","created":"2023-05-16","cited_by_count":19,"area":"diffusion"},{"id":"2509.24007","title":"Sequential Diffusion Language Models","created":"2025-09-28","cited_by_count":19,"area":"diffusion"},{"id":"2602.01326","title":"DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas","created":"2026-02-01","cited_by_count":19,"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":"2509.20624","title":"FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models","created":"2025-09-24","cited_by_count":17,"area":"diffusion"},{"id":"2509.24014","title":"SparseD: Sparse Attention for Diffusion Language Models","created":"2025-09-28","cited_by_count":17,"area":"diffusion"},{"id":"2303.07576","title":"Diffusion Models in NLP: A Survey","created":"2023-03-14","cited_by_count":16,"area":"diffusion"},{"id":"2305.14671","title":"A Survey of Diffusion Models in Natural Language Processing","created":"2023-05-24","cited_by_count":16,"area":"diffusion"},{"id":"2410.14237","title":"Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers","created":"2024-10-18","cited_by_count":14,"area":"diffusion"},{"id":"2509.23405","title":"Planner Aware Path Learning in Diffusion Language Models Training","created":"2025-09-27","cited_by_count":14,"area":"diffusion"},{"id":"2605.06548","title":"Continuous Latent Diffusion Language Model","created":"2026-05-07","cited_by_count":14,"area":"diffusion"},{"id":"2503.07197","title":"Effective and Efficient Masked Image Generation Models","created":"2025-03-10","cited_by_count":13,"area":"diffusion"},{"id":"2605.22765","title":"Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation","created":"2026-05-21","cited_by_count":13,"area":"diffusion"},{"id":"2507.04832","title":"Discrete Diffusion Trajectory Alignment via Stepwise Decomposition","created":"2025-07-07","cited_by_count":12,"area":"diffusion"},{"id":"2402.03701","title":"Unified Discrete Diffusion for Categorical Data","created":"2024-02-06","cited_by_count":11,"area":"diffusion"},{"id":"2405.17035","title":"Glauber Generative Model: Discrete Diffusion Models via Binary Classification","created":"2024-05-27","cited_by_count":11,"area":"diffusion"},{"id":"2412.19179","title":"Mask Approximation Net: A Novel Diffusion Model Approach for Remote Sensing Change Captioning","created":"2024-12-26","cited_by_count":11,"area":"diffusion"},{"id":"2502.19805","title":"Implicit Search via Discrete Diffusion: A Study on Chess","created":"2025-02-27","cited_by_count":11,"area":"diffusion"},{"id":"2503.21592","title":"Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation","created":"2025-03-27","cited_by_count":10,"area":"diffusion"},{"id":"2510.04525","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","created":"2025-10-06","cited_by_count":10,"area":"diffusion"},{"id":"2602.10314","title":"Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training","created":"2026-02-10","cited_by_count":10,"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":"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":"2602.08048","title":"TDGNet: Hallucination Detection in Diffusion Language Models via Temporal Dynamic Graphs","created":"2026-02-08","cited_by_count":8,"area":"diffusion"},{"id":"2401.17181","title":"Transfer Learning for Text Diffusion Models","created":"2024-01-30","cited_by_count":6,"area":"diffusion"},{"id":"2512.04135","title":"Decoding Large Language Diffusion Models with Foreseeing Movement","created":"2025-12-03","cited_by_count":6,"area":"diffusion"},{"id":"2512.21336","title":"Optimizing Decoding Paths in Masked Diffusion Models by Quantifying Uncertainty","created":"2025-12-24","cited_by_count":6,"area":"diffusion"},{"id":"2501.14216","title":"TFG-Flow: Training-free Guidance in Multimodal Generative Flow","created":"2025-01-24","cited_by_count":5,"area":"diffusion"},{"id":"2510.08369","title":"Guided Star-Shaped Masked Diffusion","created":"2025-10-09","cited_by_count":5,"area":"diffusion"},{"id":"2601.07894","title":"Revealing the Attention Floating Mechanism in Masked Diffusion Models","created":"2026-01-12","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":"2604.00007","title":"Dynin-Omni: Omnimodal Unified Large Diffusion Language Model","created":"2026-03-09","cited_by_count":5,"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":"2510.23606","title":"Variational Masked Diffusion Models","created":"2025-10-27","cited_by_count":4,"area":"diffusion"},{"id":"2601.13228","title":"Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation","created":"2026-01-19","cited_by_count":4,"area":"diffusion"},{"id":"2607.00773","title":"Accelerating Discrete Diffusion Models with Parallel-In-Time Sampling","created":"2026-07-01","cited_by_count":4,"area":"diffusion"},{"id":"2307.13560","title":"XDLM: Cross-lingual Diffusion Language Model for Machine Translation","created":"2023-07-25","cited_by_count":3,"area":"diffusion"},{"id":"2511.16917","title":"UniModel: A Visual-Only Framework for Unified Multimodal Understanding and Generation","created":"2025-11-21","cited_by_count":3,"area":"diffusion"},{"id":"2605.00182","title":"Towards A Generative Protein Evolution Machine with DPLM-Evo","created":"2026-04-30","cited_by_count":3,"area":"diffusion"},{"id":"2310.15524","title":"On the Inherent Privacy Properties of Discrete Denoising Diffusion Models","created":"2023-10-24","cited_by_count":2,"area":"diffusion"},{"id":"2405.12875","title":"Diffusion-RSCC: Diffusion Probabilistic Model for Change Captioning in Remote Sensing Images","created":"2024-05-21","cited_by_count":2,"area":"diffusion"},{"id":"2410.08207","title":"DICE: Discrete Inversion Enabling Controllable Editing for Multinomial Diffusion and Masked Generative Models","created":"2024-10-10","cited_by_count":2,"area":"diffusion"},{"id":"2410.13201","title":"Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration","created":"2024-10-17","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":"2512.05092","title":"Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction","created":"2025-12-04","cited_by_count":2,"area":"diffusion"},{"id":"2602.00476","title":"Diffusion LMs Can Approximate Optimal Infilling Lengths Implicitly","created":"2026-01-31","cited_by_count":2,"area":"diffusion"},{"id":"2602.02927","title":"Training-Free Self-Correction for Multimodal Masked Diffusion Models","created":"2026-02-02","cited_by_count":2,"area":"diffusion"},{"id":"2602.16872","title":"DODO: Discrete OCR Diffusion Models","created":"2026-02-18","cited_by_count":2,"area":"diffusion"},{"id":"2602.19565","title":"DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces","created":"2026-02-23","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":"2503.10683","title":"Understanding the Quality-Diversity Trade-off in Diffusion Language Models","created":"2025-03-11","cited_by_count":1,"area":"diffusion"},{"id":"2603.16661","title":"Self-Aware Markov Models for Discrete Reasoning","created":"2026-03-17","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":"2607.03788","title":"Tensor-Train Joint Modeling for Few-Step Discrete Diffusion","created":"2026-07-04","cited_by_count":1,"area":"diffusion"},{"id":"2607.21372","title":"Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy","created":"2026-07-23","cited_by_count":1,"area":"diffusion"},{"id":"2507.14484","title":"ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions","created":"2025-07-19","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"}],"next_cursor":"100"}