{"total":81,"rows":[{"id":"2409.11340","title":"OmniGen: Unified Image Generation","created":"2024-09-17","cited_by_count":394,"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":"2602.06036","title":"DFlash: Block Diffusion for Flash Speculative Decoding","created":"2026-02-05","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":"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":"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":"2506.19037","title":"Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models","created":"2025-06-23","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":"2508.13148","title":"MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models","created":"2025-08-18","cited_by_count":32,"area":"diffusion"},{"id":"2505.09561","title":"Learning Long-Context Diffusion Policies via Past-Token Prediction","created":"2025-05-14","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":"2409.00558","title":"Compositional 3D-aware Video Generation with LLM Director","created":"2024-08-31","cited_by_count":18,"area":"diffusion"},{"id":"2512.13586","title":"ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding","created":"2025-12-15","cited_by_count":18,"area":"diffusion"},{"id":"2604.08302","title":"DMax: Aggressive Parallel Decoding for dLLMs","created":"2026-04-09","cited_by_count":18,"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":"2511.05563","title":"Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models","created":"2025-11-04","cited_by_count":17,"area":"diffusion"},{"id":"2510.17206","title":"Soft-Masked Diffusion Language Models","created":"2025-10-20","cited_by_count":16,"area":"diffusion"},{"id":"2307.16680","title":"On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook","created":"2023-07-31","cited_by_count":15,"area":"diffusion"},{"id":"2601.02076","title":"Deferred Commitment Decoding for Diffusion Language Models","created":"2026-01-05","cited_by_count":12,"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":"2606.00487","title":"TAPS: Target-Aware Prefix Tree Selection for Diffusion-Drafted Speculative Decoding","created":"2026-05-30","cited_by_count":9,"area":"diffusion"},{"id":"2602.08404","title":"TEAM: Temporal-Spatial Consistency Guided Expert Activation for MoE Diffusion Language Model Acceleration","created":"2026-02-09","cited_by_count":8,"area":"diffusion"},{"id":"2601.22527","title":"$\\rho$-$\\texttt{EOS}$: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs","created":"2026-01-30","cited_by_count":7,"area":"diffusion"},{"id":"2604.23994","title":"When to Commit? Towards Variable-Size Self-Contained Blocks for Discrete Diffusion Language Models","created":"2026-04-27","cited_by_count":7,"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":"2601.07351","title":"Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models","created":"2026-01-12","cited_by_count":6,"area":"diffusion"},{"id":"2602.06161","title":"Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding","created":"2026-02-05","cited_by_count":6,"area":"diffusion"},{"id":"2605.29398","title":"GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models","created":"2026-05-28","cited_by_count":6,"area":"diffusion"},{"id":"2607.04428","title":"dOPSD: On-Policy Self-Distillation for Diffusion Language Models","created":"2026-07-05","cited_by_count":6,"area":"diffusion"},{"id":"2502.09242","title":"From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine","created":"2025-02-13","cited_by_count":5,"area":"diffusion"},{"id":"2510.13870","title":"Unlocking the Potential of Diffusion Language Models through Template Infilling","created":"2025-10-13","cited_by_count":4,"area":"diffusion"},{"id":"2510.18072","title":"Fine-tuning Flow Matching Generative Models with Intermediate Feedback","created":"2025-10-20","cited_by_count":4,"area":"diffusion"},{"id":"2511.06250","title":"Test-Time Iterative Error Correction for Efficient Diffusion Models","created":"2025-11-09","cited_by_count":4,"area":"diffusion"},{"id":"2602.06462","title":"Diffusion-State Policy Optimization for Masked Diffusion Language Models","created":"2026-02-06","cited_by_count":4,"area":"diffusion"},{"id":"2602.07546","title":"Improving Variable-Length Generation in Diffusion Language Models via Length Regularization","created":"2026-02-07","cited_by_count":4,"area":"diffusion"},{"id":"2603.12554","title":"Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages","created":"2026-03-13","cited_by_count":4,"area":"diffusion"},{"id":"2604.10567","title":"Early Decisions Matter: Proximity Bias and Initial Trajectory Shaping in Non-Autoregressive Diffusion Language Models","created":"2026-04-12","cited_by_count":4,"area":"diffusion"},{"id":"2411.14871","title":"Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation","created":"2024-11-22","cited_by_count":3,"area":"diffusion"},{"id":"2505.15791","title":"VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL","created":"2025-05-21","cited_by_count":3,"area":"diffusion"},{"id":"2512.21430","title":"EVE: A Generator-Verifier System for Generative Policies","created":"2025-12-24","cited_by_count":3,"area":"diffusion"},{"id":"2602.00250","title":"TABES: Trajectory-Aware Backward-on-Entropy Steering for Masked Diffusion Models","created":"2026-01-30","cited_by_count":3,"area":"diffusion"},{"id":"2602.12262","title":"Few-Step Diffusion Language Models via Trajectory Self-Distillation","created":"2026-02-12","cited_by_count":3,"area":"diffusion"},{"id":"2605.27387","title":"From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons","created":"2026-04-11","cited_by_count":3,"area":"diffusion"},{"id":"2602.04928","title":"Euphonium: Steering Video Flow Matching via Process Reward Gradient Guided Stochastic Dynamics","created":"2026-02-04","cited_by_count":2,"area":"diffusion"},{"id":"2603.15340","title":"DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models","created":"2026-03-16","cited_by_count":2,"area":"diffusion"},{"id":"2603.15803","title":"Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMs","created":"2026-03-16","cited_by_count":2,"area":"diffusion"},{"id":"2604.00666","title":"TRIMS: Trajectory-Ranked Instruction Masked Supervision for Diffusion Language Models","created":"2026-04-01","cited_by_count":2,"area":"diffusion"},{"id":"2604.18739","title":"Discrete Tilt Matching","created":"2026-04-20","cited_by_count":2,"area":"diffusion"},{"id":"2607.14522","title":"A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models","created":"2026-07-16","cited_by_count":2,"area":"diffusion"},{"id":"2609.04010","title":"Unlocking Lossless Speedups in LLMs via Discrete Diffusion","created":"2026-09-03","cited_by_count":2,"area":"diffusion"},{"id":"2502.18477","title":"Personalized Image Generation for Recommendations Beyond Catalogs","created":"2025-02-05","cited_by_count":1,"area":"diffusion"},{"id":"2506.20294","title":"Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations","created":"2025-06-25","cited_by_count":1,"area":"diffusion"},{"id":"2604.15750","title":"DepCap: Adaptive Block-Wise Parallel Decoding for Efficient Diffusion LM Inference","created":"2026-04-17","cited_by_count":1,"area":"diffusion"},{"id":"2605.13043","title":"Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models","created":"2026-05-13","cited_by_count":1,"area":"diffusion"},{"id":"2605.15676","title":"Dynamic Chunking for Diffusion Language Models","created":"2026-05-15","cited_by_count":1,"area":"diffusion"},{"id":"2606.01026","title":"Revise, Don't Freeze: Sampler-Matched Training for Self-Correcting Masked Diffusion Language Models","created":"2026-05-31","cited_by_count":1,"area":"diffusion"},{"id":"2609.15177","title":"Temporal Self-Distillation: Faster Inference in Discrete Diffusion Language Models","created":"2026-09-14","cited_by_count":1,"area":"diffusion"},{"id":"2609.33301","title":"Hesitation-Aware On-Policy Distillation for Diffusion Language Models","created":"2026-09-27","cited_by_count":1,"area":"diffusion"},{"id":"2609.35947","title":"FluxLite: Inference-Time Proposal Control for Discrete Diffusion Models","created":"2026-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2601.21922","title":"Zero-Shot Video Restoration and Enhancement with Assistance of Video Diffusion Models","created":"2026-01-29","cited_by_count":0,"area":"diffusion"},{"id":"2605.18817","title":"Multi-Token Residual Prediction","created":"2026-05-12","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":"2605.28181","title":"When Confidence Misleads: Suffix Anchoring and Anchor-Proximity Confidence Modulation for Diffusion Language Models","created":"2026-05-27","cited_by_count":0,"area":"diffusion"},{"id":"2606.04396","title":"Read the Trace, Steer the Path: Trajectory-Aware Reinforcement Learning for Diffusion Language Models","created":"2026-06-03","cited_by_count":0,"area":"diffusion"},{"id":"2606.13795","title":"DiPOD: Diffusion Policy Optimization without Drifting Apart","created":"2026-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2606.16281","title":"Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language Models","created":"2026-06-15","cited_by_count":0,"area":"diffusion"},{"id":"2608.01717","title":"Beyond On-Policy Exploration: Integrating External Policy Rollouts for Reinforcement Learning in Diffusion Language Models","created":"2026-08-03","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":"2608.30922","title":"CARVE: Verified Expansion for Variable-Length Generation in Diffusion Language Models","created":"2026-08-31","cited_by_count":0,"area":"diffusion"},{"id":"2609.13425","title":"ReCAST: Reward Credit Assignment across Timesteps for Online Diffusion Reinforcement","created":"2026-09-11","cited_by_count":0,"area":"diffusion"},{"id":"2609.20751","title":"dQwen3.5: Hybrid-Attention Diffusion Language Models","created":"2026-09-17","cited_by_count":0,"area":"diffusion"},{"id":"2609.27220","title":"LOCKR: A Hidden-State Trajectory-Guided Planner for Detecting and Repairing Stable-but-Wrong Lock-In in Diffusion Language Models","created":"2026-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2609.35817","title":"Less Uniform Discrete Diffusion is More Powerful and Scalable","created":"2026-09-21","cited_by_count":0,"area":"diffusion"},{"id":"2609.36452","title":"Reliable Parallel Decoding in Masked Diffusion Language Models","created":"2026-09-29","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"},{"id":"2610.03665","title":"Pivot-SD: Efficient Self-Distillation for Masked Diffusion Language Models","created":"2026-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2610.17266","title":"RL Post-Training Diffusion Language Models Along Their Own Generation Paths","created":"2026-10-12","cited_by_count":0,"area":"diffusion"},{"id":"2610.17397","title":"JustOPD: On-Policy Distillation from Autoregressive to Diffusion Language Models","created":"2026-10-12","cited_by_count":0,"area":"diffusion"},{"id":"2610.17917","title":"Batch-Paced: Fixed-Budget Batch Decoding in Discrete Diffusion Language Models","created":"2026-10-13","cited_by_count":0,"area":"diffusion"},{"id":"2610.19408","title":"ForkGRPO: Efficient Exploration and Fine-Grained Credit Assignment for Diffusion Language Models","created":"2026-10-14","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}