{"total":105,"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":"2503.09573","title":"Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models","created":"2025-03-12","cited_by_count":409,"area":"diffusion"},{"id":"2406.03736","title":"Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data","created":"2024-06-06","cited_by_count":381,"area":"diffusion"},{"id":"2402.04997","title":"Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design","created":"2024-02-07","cited_by_count":305,"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":"2410.18514","title":"Scaling up Masked Diffusion Models on Text","created":"2024-10-24","cited_by_count":199,"area":"diffusion"},{"id":"2508.02193","title":"Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference","created":"2025-08-04","cited_by_count":178,"area":"diffusion"},{"id":"2506.10892","title":"The Diffusion Duality","created":"2025-06-12","cited_by_count":135,"area":"diffusion"},{"id":"2510.06303","title":"SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation","created":"2025-10-07","cited_by_count":129,"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":"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":"2410.21035","title":"Beyond Autoregression: Fast LLMs via Self-Distillation Through Time","created":"2024-10-28","cited_by_count":78,"area":"diffusion"},{"id":"2508.10875","title":"A Survey on Diffusion Language Models","created":"2025-08-14","cited_by_count":78,"area":"diffusion"},{"id":"2405.14664","title":"Fisher Flow Matching for Generative Modeling over Discrete Data","created":"2024-05-23","cited_by_count":72,"area":"diffusion"},{"id":"2405.20971","title":"Amortizing intractable inference in diffusion models for vision, language, and control","created":"2024-05-31","cited_by_count":72,"area":"diffusion"},{"id":"2503.04482","title":"Generalized Interpolating Discrete Diffusion","created":"2025-03-06","cited_by_count":70,"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":"2503.20853","title":"Unified Multimodal Discrete Diffusion","created":"2025-03-26","cited_by_count":49,"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":"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":"2604.11748","title":"LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling","created":"2026-04-13","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":"2510.22510","title":"CANDI: Hybrid Discrete-Continuous Diffusion Models","created":"2025-10-26","cited_by_count":34,"area":"diffusion"},{"id":"2508.09138","title":"Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models","created":"2025-08-12","cited_by_count":33,"area":"diffusion"},{"id":"2502.06079","title":"Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo","created":"2025-02-10","cited_by_count":31,"area":"diffusion"},{"id":"2502.11564","title":"Continuous Diffusion Model for Language Modeling","created":"2025-02-17","cited_by_count":31,"area":"diffusion"},{"id":"2602.15014","title":"Scaling Beyond Masked Diffusion Language Models","created":"2026-02-16","cited_by_count":27,"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":"2510.22852","title":"Encoder-Decoder Diffusion Language Models for Efficient Training and Inference","created":"2025-10-26","cited_by_count":24,"area":"diffusion"},{"id":"2505.21400","title":"Breaking AR's Sampling Bottleneck: Provable Acceleration via Diffusion Language Models","created":"2025-05-27","cited_by_count":23,"area":"diffusion"},{"id":"2505.18495","title":"Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking","created":"2025-05-24","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":"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":"2605.18530","title":"Continuous Diffusion Scales Competitively with Discrete Diffusion for Language","created":"2026-05-18","cited_by_count":19,"area":"diffusion"},{"id":"2308.15459","title":"ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer","created":"2023-08-29","cited_by_count":18,"area":"diffusion"},{"id":"2505.18456","title":"Anchored Diffusion Language Model","created":"2025-05-24","cited_by_count":17,"area":"diffusion"},{"id":"2509.25035","title":"Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct","created":"2025-09-29","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":"2408.04220","title":"Diffusion Guided Language Modeling","created":"2024-08-08","cited_by_count":15,"area":"diffusion"},{"id":"2403.03726","title":"Diffusion on language model encodings for protein sequence generation","created":"2024-03-06","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":"2605.07933","title":"How to Train Your Latent Diffusion Language Model Jointly With the Latent Space","created":"2026-05-08","cited_by_count":11,"area":"diffusion"},{"id":"2512.21446","title":"dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning","created":"2025-12-24","cited_by_count":10,"area":"diffusion"},{"id":"2601.20339","title":"Improving Diffusion Language Model Decoding through Joint Search in Generation Order and Token Space","created":"2026-01-28","cited_by_count":10,"area":"diffusion"},{"id":"2603.01367","title":"DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking","created":"2026-03-02","cited_by_count":9,"area":"diffusion"},{"id":"2601.02236","title":"CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models","created":"2026-01-05","cited_by_count":8,"area":"diffusion"},{"id":"2505.15270","title":"Scaling Diffusion Transformers Efficiently via $\\mu$P","created":"2025-05-21","cited_by_count":6,"area":"diffusion"},{"id":"2605.06885","title":"Don't Retrain, Align: Adapting Autoregressive LMs to Diffusion LMs via Representation Alignment","created":"2026-05-07","cited_by_count":6,"area":"diffusion"},{"id":"2410.14758","title":"Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion","created":"2024-10-18","cited_by_count":5,"area":"diffusion"},{"id":"2411.00759","title":"Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching","created":"2024-11-01","cited_by_count":5,"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":"2502.09767","title":"Non-Markovian Discrete Diffusion with Causal Language Models","created":"2025-02-13","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":"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":"2409.09828","title":"Latent Diffusion Models for Controllable RNA Sequence Generation","created":"2024-09-15","cited_by_count":4,"area":"diffusion"},{"id":"2410.03368","title":"Latent Abstractions in Generative Diffusion Models","created":"2024-10-04","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":"2601.16971","title":"Auto-Regressive Masked Diffusion Models","created":"2026-01-23","cited_by_count":4,"area":"diffusion"},{"id":"2602.01362","title":"Balancing Understanding and Generation in Discrete Diffusion Models","created":"2026-02-01","cited_by_count":3,"area":"diffusion"},{"id":"2602.16169","title":"Discrete Stochastic Localization for Non-autoregressive Generation","created":"2026-02-18","cited_by_count":3,"area":"diffusion"},{"id":"2603.21342","title":"Generalized Discrete Diffusion from Snapshots","created":"2026-03-22","cited_by_count":3,"area":"diffusion"},{"id":"2604.15694","title":"Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction","created":"2026-04-17","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":"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":"2606.08357","title":"Forward-Free Diffusion Language Models with BPTT-Free Looped Refinement","created":"2026-06-06","cited_by_count":2,"area":"diffusion"},{"id":"2607.00588","title":"Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs","created":"2026-07-01","cited_by_count":2,"area":"diffusion"},{"id":"2608.23551","title":"ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings","created":"2026-08-24","cited_by_count":2,"area":"diffusion"},{"id":"2609.04531","title":"Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One","created":"2026-09-03","cited_by_count":2,"area":"diffusion"},{"id":"2601.16220","title":"Towards Latent Diffusion Suitable For Text","created":"2026-01-07","cited_by_count":1,"area":"diffusion"},{"id":"2602.02544","title":"SPA-Cache: Singular Proxies for Adaptive Caching in Diffusion Language Models","created":"2026-01-30","cited_by_count":1,"area":"diffusion"},{"id":"2603.14207","title":"DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-Resolution","created":"2026-03-15","cited_by_count":1,"area":"diffusion"},{"id":"2605.04291","title":"Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion","created":"2026-05-05","cited_by_count":1,"area":"diffusion"},{"id":"2605.09820","title":"Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference","created":"2026-05-10","cited_by_count":1,"area":"diffusion"},{"id":"2607.14106","title":"Token Time Continuous Diffusion for Language Modeling","created":"2026-05-07","cited_by_count":1,"area":"diffusion"},{"id":"2608.03457","title":"LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models","created":"2026-08-04","cited_by_count":1,"area":"diffusion"},{"id":"2609.35694","title":"Reasoning with Continuous Latent Diffusion","created":"2026-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2410.22380","title":"Discrete Modeling via Boundary Conditional Diffusion Processes","created":"2024-10-29","cited_by_count":0,"area":"diffusion"},{"id":"2503.09746","title":"Solving Bayesian inverse problems with diffusion priors and off-policy RL","created":"2025-03-12","cited_by_count":0,"area":"diffusion"},{"id":"2503.18551","title":"Discriminative protein sequence modelling with Latent Space Diffusion","created":"2025-03-24","cited_by_count":0,"area":"diffusion"},{"id":"2602.00792","title":"Latent Shadows: The Gaussian-Discrete Duality in Masked Diffusion","created":"2026-01-31","cited_by_count":0,"area":"diffusion"},{"id":"2602.12468","title":"Continuous Diffusion Models Can Obey Formal Syntax","created":"2026-02-12","cited_by_count":0,"area":"diffusion"},{"id":"2604.15009","title":"Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching","created":"2026-04-16","cited_by_count":0,"area":"diffusion"},{"id":"2605.09303","title":"Path-Dependent Denoising: A Non-Conservative Field Perspective on Order Collapse in Diffusion Language Models","created":"2026-05-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.12836","title":"Discrete Stochastic Localization for Non-autoregressive Generation","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.14531","title":"Language Generation as Optimal Control: Closed-Loop Diffusion in Latent Control Space","created":"2026-05-14","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":"2606.09962","title":"Optimality of FSQ Tokens for Continuous Diffusion for Categorical Data with Application to Text-to-Speech","created":"2026-06-08","cited_by_count":0,"area":"diffusion"},{"id":"2607.10067","title":"Conservation Laws for Diffusion Models","created":"2026-07-11","cited_by_count":0,"area":"diffusion"},{"id":"2607.24507","title":"UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective","created":"2026-07-27","cited_by_count":0,"area":"diffusion"},{"id":"2608.22244","title":"Improving Few-Step Language Flows with Untied Self-Conditioning","created":"2026-08-23","cited_by_count":0,"area":"diffusion"},{"id":"2609.33698","title":"One Latent, Many Tokens: Jointly Learning Compressed Embeddings for Efficient Language Diffusion","created":"2026-09-27","cited_by_count":0,"area":"diffusion"},{"id":"2609.38536","title":"Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents","created":"2026-09-29","cited_by_count":0,"area":"diffusion"}],"next_cursor":"100"}