{"total":166,"rows":[{"id":"2602.08676","title":"LLaDA2.1: Speeding Up Text Diffusion via Token Editing","created":"2026-02-09","cited_by_count":54,"area":"diffusion"},{"id":"2512.22737","title":"WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference","created":"2025-12-28","cited_by_count":41,"area":"diffusion"},{"id":"2601.07568","title":"d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation","created":"2026-01-12","cited_by_count":37,"area":"inference"},{"id":"2607.05722","title":"Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding","created":"2026-07-07","cited_by_count":24,"area":null},{"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":"2604.08302","title":"DMax: Aggressive Parallel Decoding for dLLMs","created":"2026-04-09","cited_by_count":18,"area":"diffusion"},{"id":"2602.22661","title":"dLLM: Simple Diffusion Language Modeling","created":"2026-02-26","cited_by_count":14,"area":"diffusion"},{"id":"2601.15892","title":"Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model","created":"2026-01-22","cited_by_count":13,"area":null},{"id":"2602.11590","title":"Learn from Your Mistakes: Self-Correcting Masked Diffusion Models","created":"2026-02-12","cited_by_count":13,"area":"diffusion"},{"id":"2604.20796","title":"LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model","created":"2026-04-22","cited_by_count":13,"area":"diffusion"},{"id":"2601.02076","title":"Deferred Commitment Decoding for Diffusion Language Models","created":"2026-01-05","cited_by_count":12,"area":"diffusion"},{"id":"2601.15593","title":"Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow","created":"2026-01-22","cited_by_count":11,"area":"diffusion"},{"id":"2606.06712","title":"Data-Efficient Autoregressive-to-Diffusion Language Models via On-Policy Distillation","created":"2026-06-04","cited_by_count":11,"area":"diffusion"},{"id":"2608.00146","title":"DiffusionGemma Technical Report","created":"2026-07-31","cited_by_count":11,"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":"2603.01068","title":"LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model","created":"2026-03-01","cited_by_count":10,"area":"diffusion"},{"id":"2602.03769","title":"Reasoning with Latent Tokens in Diffusion Language Models","created":"2026-02-03","cited_by_count":9,"area":"lr"},{"id":"2602.09501","title":"Where-to-Unmask: Ground-Truth-Guided Unmasking Order Learning for Masked Diffusion Language Models","created":"2026-02-10","cited_by_count":9,"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":"2604.02560","title":"Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models","created":"2026-04-02","cited_by_count":8,"area":"diffusion"},{"id":"2604.11035","title":"Introspective Diffusion Language Models","created":"2026-04-13","cited_by_count":8,"area":"diffusion"},{"id":"2602.00612","title":"Lookahead-then-Verify: Reliable Constrained Decoding for Diffusion LLMs under Context-Free Grammars","created":"2026-01-31","cited_by_count":7,"area":null},{"id":"2602.01842","title":"Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models","created":"2026-02-02","cited_by_count":7,"area":"lr"},{"id":"2602.02159","title":"Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing","created":"2026-02-02","cited_by_count":7,"area":null},{"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":"2602.14147","title":"LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models","created":"2026-02-15","cited_by_count":7,"area":"lr"},{"id":"2607.16872","title":"Trace-Based On-Policy Distillation for Masked Diffusion Language Models","created":"2026-07-18","cited_by_count":7,"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":"2602.07451","title":"DLLM Agent: See Farther, Run Faster","created":"2026-02-07","cited_by_count":6,"area":"agents"},{"id":"2602.21472","title":"The Design Space of Tri-Modal Masked Diffusion Models","created":"2026-02-25","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":"2606.01774","title":"FLARE: Diffusion for Hybrid Language Model","created":"2026-06-01","cited_by_count":6,"area":null},{"id":"2603.25702","title":"S2D2: Fast Decoding for Diffusion LLMs via Training-Free Self-Speculation","created":"2026-03-26","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":"2604.04215","title":"DARE: Diffusion Large Language Models Alignment and Reinforcement Executor","created":"2026-04-05","cited_by_count":5,"area":"alignment"},{"id":"2604.09921","title":"A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models","created":"2026-04-10","cited_by_count":5,"area":"diffusion"},{"id":"2606.18195","title":"Learning from the Self-future: On-policy Self-distillation for dLLMs","created":"2026-06-16","cited_by_count":5,"area":"distill"},{"id":"2606.19257","title":"DreamReasoner-8B: Block-Size Curriculum Learning for Diffusion Reasoning Models","created":"2026-06-17","cited_by_count":5,"area":"lr"},{"id":"2512.20573","title":"Fail Fast, Win Big: Rethinking the Drafting Strategy in Speculative Decoding via Diffusion LLMs","created":"2025-12-23","cited_by_count":4,"area":"lr"},{"id":"2601.10348","title":"Training-Trajectory-Aware Token Selection","created":"2026-01-15","cited_by_count":4,"area":"lr"},{"id":"2601.19577","title":"MaDiS: Taming Masked Diffusion Language Models for Sign Language Generation","created":"2026-01-27","cited_by_count":4,"area":"diffusion"},{"id":"2602.00879","title":"Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs","created":"2026-01-31","cited_by_count":4,"area":"moe"},{"id":"2602.01849","title":"Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models","created":"2026-02-02","cited_by_count":4,"area":"lr"},{"id":"2603.27593","title":"STRIDE: When to Speak Meets Sequence Denoising for Streaming Video Understanding","created":"2026-03-29","cited_by_count":4,"area":"lr"},{"id":"2604.09450","title":"ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion","created":"2026-04-10","cited_by_count":4,"area":null},{"id":"2607.19223","title":"AdaFlash: Adaptive Speculative Decoding via On-Policy Distilled Diffusion Drafters","created":"2026-07-21","cited_by_count":4,"area":"inference"},{"id":"2601.14041","title":"Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants","created":"2026-01-20","cited_by_count":3,"area":"diffusion"},{"id":"2601.23278","title":"FOCUS: DLLMs Know How to Tame Their Compute Bound","created":"2026-01-30","cited_by_count":3,"area":null},{"id":"2602.05305","title":"FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion","created":"2026-02-05","cited_by_count":3,"area":"diffusion"},{"id":"2602.11715","title":"DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels","created":"2026-02-12","cited_by_count":3,"area":null},{"id":"2603.01331","title":"MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models","created":"2026-03-02","cited_by_count":3,"area":"lr"},{"id":"2603.02333","title":"Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects","created":"2026-03-02","cited_by_count":3,"area":"diffusion"},{"id":"2603.20216","title":"Locally Coherent Parallel Decoding in Diffusion Language Models","created":"2026-03-03","cited_by_count":3,"area":"diffusion"},{"id":"2604.24357","title":"DPRM: A Plug-in Doob h transform-induced Token-Ordering Module for Discrete Diffusion Models","created":"2026-04-27","cited_by_count":3,"area":"diffusion"},{"id":"2605.04647","title":"ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving","created":"2026-05-06","cited_by_count":3,"area":"diffusion"},{"id":"2605.13382","title":"BlockVLA: Accelerating Autoregressive VLA via Block Diffusion Finetuning","created":"2026-05-13","cited_by_count":3,"area":"lr"},{"id":"2605.22939","title":"Learnability-Informed Fine-Tuning of Diffusion Language Models","created":"2026-05-21","cited_by_count":3,"area":"lr"},{"id":"2605.30748","title":"Chatterbox-Flash: Prior-Calibrated Block Diffusion for Streaming Zero-Shot TTS","created":"2026-05-29","cited_by_count":3,"area":null},{"id":"2606.06888","title":"Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws","created":"2026-06-05","cited_by_count":3,"area":null},{"id":"2606.29215","title":"Multi-Block Diffusion Language Models","created":"2026-06-28","cited_by_count":3,"area":"diffusion"},{"id":"2601.17868","title":"VidLaDA: Bidirectional Diffusion Large Language Models for Efficient Video Understanding","created":"2026-01-25","cited_by_count":2,"area":null},{"id":"2602.09555","title":"Adaptive Test-Time Compute Allocation for Block Diffusion Language Models in Complex Reasoning","created":"2026-02-10","cited_by_count":2,"area":"lr"},{"id":"2603.07475","title":"A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs","created":"2026-03-08","cited_by_count":2,"area":"diffusion"},{"id":"2604.10556","title":"Lost in Diffusion: Uncovering Hallucination Patterns and Failure Modes in Diffusion Large Language Models","created":"2026-04-12","cited_by_count":2,"area":null},{"id":"2605.09291","title":"dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models","created":"2026-05-10","cited_by_count":2,"area":null},{"id":"2605.09536","title":"TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM","created":"2026-05-10","cited_by_count":2,"area":null},{"id":"2605.10020","title":"TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation","created":"2026-05-11","cited_by_count":2,"area":"diffusion"},{"id":"2605.14465","title":"From Table to Cell: Attention for Better Reasoning with TABALIGN","created":"2026-05-14","cited_by_count":2,"area":"lr"},{"id":"2605.20179","title":"TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload","created":"2026-05-19","cited_by_count":2,"area":"moe"},{"id":"2605.24292","title":"TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models","created":"2026-05-22","cited_by_count":2,"area":"diffusion"},{"id":"2605.30876","title":"dMoE: dLLMs with Learnable Block Experts","created":"2026-05-29","cited_by_count":2,"area":"moe"},{"id":"2607.04206","title":"Sangam: Efficiently Serving Diffusion LLMs with the AR Stack","created":"2026-07-05","cited_by_count":2,"area":"diffusion"},{"id":"2607.24306","title":"Rethinking the Generation Order of Block Diffusion Language Models","created":"2026-07-27","cited_by_count":2,"area":"lr"},{"id":"2601.22985","title":"dgMARK: Decoding-Guided Watermarking for Diffusion Language Models","created":"2026-01-30","cited_by_count":1,"area":"diffusion"},{"id":"2602.02600","title":"Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models","created":"2026-02-01","cited_by_count":1,"area":"diffusion"},{"id":"2602.03496","title":"Lookahead Path Likelihood Optimization for Diffusion LLMs","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2602.12586","title":"Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models","created":"2026-02-13","cited_by_count":1,"area":"diffusion"},{"id":"2602.15870","title":"VDLM: Variable Diffusion LMs via Robust Latent-to-Text Rendering","created":"2026-01-27","cited_by_count":1,"area":"diffusion"},{"id":"2603.26675","title":"GeoBlock: Inferring Block Granularity from Dependency Geometry in Diffusion Language Models","created":"2026-03-04","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":"2605.10218","title":"Relative Score Policy Optimization for Diffusion Language Models","created":"2026-05-11","cited_by_count":1,"area":"lr"},{"id":"2605.10518","title":"Infinite Mask Diffusion for Few-Step Distillation","created":"2026-05-11","cited_by_count":1,"area":"diffusion"},{"id":"2605.12522","title":"Differences in Text Generated by Diffusion and Autoregressive Language Models","created":"2026-04-04","cited_by_count":1,"area":"diffusion"},{"id":"2605.15609","title":"PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding","created":"2026-05-15","cited_by_count":1,"area":"inference"},{"id":"2605.18165","title":"Elastic-dLLM: Position Preserving Context Compression and Augmentation of Diffusion LLMs","created":"2026-05-18","cited_by_count":1,"area":"inference"},{"id":"2605.24832","title":"Optimus: Elastic Decoding for Efficient Diffusion LLM Serving","created":"2026-05-24","cited_by_count":1,"area":"inference"},{"id":"2605.25969","title":"Triplet-Block Diffusion RWKV","created":"2026-05-25","cited_by_count":1,"area":null},{"id":"2605.26106","title":"Looped Diffusion Language Models","created":"2026-05-25","cited_by_count":1,"area":"diffusion"},{"id":"2605.29123","title":"The Confidence Shortcut: A Reasoning Failure Mode of Masked Diffusion Models","created":"2026-05-27","cited_by_count":1,"area":"lr"},{"id":"2606.04027","title":"MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models","created":"2026-06-01","cited_by_count":1,"area":"safety"},{"id":"2606.04236","title":"Supportive Token Revealing for Fast Diffusion Language Model Decoding","created":"2026-06-02","cited_by_count":1,"area":"diffusion"},{"id":"2606.05728","title":"DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidance","created":"2026-06-04","cited_by_count":1,"area":null},{"id":"2606.12232","title":"Re-evaluating Confidence Remasking in Masked Diffusion Language Models","created":"2026-06-10","cited_by_count":1,"area":"diffusion"},{"id":"2606.16847","title":"Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2606.17999","title":"VoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic Termination","created":"2026-06-16","cited_by_count":1,"area":"diffusion"},{"id":"2606.19534","title":"PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models","created":"2026-06-17","cited_by_count":1,"area":"mllm"},{"id":"2606.31585","title":"DPPE: Rethinking Camera-Based Positional Encoding for Scaling Multi-View Transformers","created":"2026-06-30","cited_by_count":1,"area":null},{"id":"2607.16204","title":"Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL","created":"2026-05-07","cited_by_count":1,"area":"wm"},{"id":"2607.22663","title":"Beyond Block Boundaries: Multi-Block Editing for Diffusion Large Language Models","created":"2026-06-29","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"}],"next_cursor":"100"}