{"total":124,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"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":"2512.15745","title":"LLaDA2.0: Scaling Up Diffusion Language Models to 100B","created":"2025-12-10","cited_by_count":166,"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":"2508.09192","title":"Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing","created":"2025-08-08","cited_by_count":116,"area":"diffusion"},{"id":"2508.10875","title":"A Survey on Diffusion Language Models","created":"2025-08-14","cited_by_count":78,"area":"diffusion"},{"id":"2508.19982","title":"Diffusion Language Models Know the Answer Before Decoding","created":"2025-08-27","cited_by_count":70,"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":"2511.05664","title":"KLASS: KL-Guided Fast Inference in Masked Diffusion Models","created":"2025-11-07","cited_by_count":47,"area":"diffusion"},{"id":"2508.14148","title":"DPad: Efficient Diffusion Language Models with Suffix Dropout","created":"2025-08-19","cited_by_count":39,"area":"diffusion"},{"id":"2305.16366","title":"Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving","created":"2023-05-25","cited_by_count":37,"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":"2512.09106","title":"Learning Unmasking Policies for Diffusion Language Models","created":"2025-12-09","cited_by_count":30,"area":"diffusion"},{"id":"2511.00606","title":"SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding","created":"2025-11-01","cited_by_count":26,"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":"2505.20199","title":"Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking","created":"2025-05-26","cited_by_count":21,"area":"diffusion"},{"id":"2511.19269","title":"CDLM: Consistency Diffusion Language Models For Faster Sampling","created":"2025-11-24","cited_by_count":21,"area":"diffusion"},{"id":"2509.24007","title":"Sequential Diffusion Language Models","created":"2025-09-28","cited_by_count":19,"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":"2602.22661","title":"dLLM: Simple Diffusion Language Modeling","created":"2026-02-26","cited_by_count":14,"area":"diffusion"},{"id":"2606.25331","title":"Improved Large Language Diffusion Models","created":"2026-06-24","cited_by_count":14,"area":"diffusion"},{"id":"2510.21961","title":"Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing","created":"2025-10-24","cited_by_count":13,"area":"diffusion"},{"id":"2602.11590","title":"Learn from Your Mistakes: Self-Correcting Masked Diffusion Models","created":"2026-02-12","cited_by_count":13,"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":"2603.00045","title":"Breaking the Factorization Barrier in Diffusion Language Models","created":"2026-02-09","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":"2508.19529","title":"Blockwise SFT for Diffusion Language Models: Reconciling Bidirectional Attention and Autoregressive Decoding","created":"2025-08-27","cited_by_count":10,"area":"diffusion"},{"id":"2512.22234","title":"DiRL: An Efficient Post-Training Framework for Diffusion Language Models","created":"2025-12-23","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":"2601.22954","title":"Residual Context Diffusion Language Models","created":"2026-01-30","cited_by_count":10,"area":"diffusion"},{"id":"2602.04096","title":"CORE: Context-Robust Remasking for Diffusion Language Models","created":"2026-02-04","cited_by_count":10,"area":"diffusion"},{"id":"2512.02044","title":"Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models","created":"2025-11-26","cited_by_count":9,"area":"diffusion"},{"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":"2601.02236","title":"CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models","created":"2026-01-05","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":"2602.18176","title":"Improving Sampling for Masked Diffusion Models via Information Gain","created":"2026-02-20","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":"2607.16872","title":"Trace-Based On-Policy Distillation for Masked Diffusion Language Models","created":"2026-07-18","cited_by_count":7,"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":"2511.21759","title":"Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models","created":"2025-11-24","cited_by_count":5,"area":"diffusion"},{"id":"2601.11214","title":"T$^\\star$: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning","created":"2026-01-16","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":"2604.09921","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":"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":"2509.13866","title":"Masked Diffusion Models as Energy Minimization","created":"2025-09-17","cited_by_count":3,"area":"diffusion"},{"id":"2602.05305","title":"FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion","created":"2026-02-05","cited_by_count":3,"area":"diffusion"},{"id":"2602.12262","title":"Few-Step Diffusion Language Models via Trajectory Self-Distillation","created":"2026-02-12","cited_by_count":3,"area":"diffusion"},{"id":"2603.08026","title":"DyLLM: Efficient Diffusion LLM Inference via Saliency-based Token Selection and Partial Attention","created":"2026-03-09","cited_by_count":3,"area":"diffusion"},{"id":"2603.18489","title":"EntropyCache: Decoded Token Entropy Guided KV Caching for Diffusion Language Models","created":"2026-03-19","cited_by_count":3,"area":"diffusion"},{"id":"2606.29215","title":"Multi-Block Diffusion Language Models","created":"2026-06-28","cited_by_count":3,"area":"diffusion"},{"id":"2607.03236","title":"TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding","created":"2026-07-03","cited_by_count":3,"area":"diffusion"},{"id":"2608.02942","title":"OPTD: On-Policy Transition Distillation with Consistency-Guided Adaptive Compression for Few-Step Diffusion Language Models","created":"2026-08-03","cited_by_count":3,"area":"diffusion"},{"id":"2601.12247","title":"Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models","created":"2026-01-18","cited_by_count":2,"area":"diffusion"},{"id":"2601.20332","title":"Window-Diffusion: Accelerating Diffusion Language Model Inference with Windowed Token Pruning and Caching","created":"2026-01-28","cited_by_count":2,"area":"diffusion"},{"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":"2603.15340","title":"DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models","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":"2605.09603","title":"Edit-Based Refinement for Parallel Masked Diffusion Language Models","created":"2026-05-10","cited_by_count":2,"area":"diffusion"},{"id":"2605.29233","title":"BlockBatch: Multi-Scale Consensus Decoding for Efficient Diffusion Language Model Inference","created":"2026-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2605.29607","title":"Cluster-Level Attention-Guided Parallel Decoding for Masked Diffusion Language Models","created":"2026-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2606.10829","title":"Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models","created":"2026-06-09","cited_by_count":2,"area":"diffusion"},{"id":"2607.17652","title":"FlowBlock: Wavefront-Parallel Decoding for Self-Correcting Diffusion Language Models","created":"2026-07-20","cited_by_count":2,"area":"diffusion"},{"id":"2601.03199","title":"DIP: Dynamic In-Context Planner For Diffusion Language Models","created":"2026-01-06","cited_by_count":1,"area":"diffusion"},{"id":"2601.06428","title":"BackPlay: Head-Only Look-Back Self-Correction for Diffusion Language Models","created":"2026-01-10","cited_by_count":1,"area":"diffusion"},{"id":"2601.22450","title":"Tuning the Implicit Regularizer of Masked Diffusion Language Models: Enhancing Generalization via Insights from $k$-Parity","created":"2026-01-30","cited_by_count":1,"area":"diffusion"},{"id":"2602.00150","title":"Reversible Diffusion Decoding for Diffusion Language Models","created":"2026-01-29","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":"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":"2605.09820","title":"Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference","created":"2026-05-10","cited_by_count":1,"area":"diffusion"},{"id":"2605.11854","title":"Self-Distilled Trajectory-Aware Boltzmann Modeling: Bridging the Training-Inference Discrepancy in Diffusion Language Models","created":"2026-05-12","cited_by_count":1,"area":"diffusion"},{"id":"2606.04236","title":"Supportive Token Revealing for Fast Diffusion Language Model Decoding","created":"2026-06-02","cited_by_count":1,"area":"diffusion"},{"id":"2606.12232","title":"Re-evaluating Confidence Remasking in Masked Diffusion Language Models","created":"2026-06-10","cited_by_count":1,"area":"diffusion"},{"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":"2608.03457","title":"LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models","created":"2026-08-04","cited_by_count":1,"area":"diffusion"},{"id":"2609.33301","title":"Hesitation-Aware On-Policy Distillation for Diffusion Language Models","created":"2026-09-27","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":"2601.04205","title":"STaRR: Spatial-Temporal Token-Dynamics-Aware Responsive Remasking for Diffusion Language Models","created":"2025-12-07","cited_by_count":0,"area":"diffusion"},{"id":"2601.23182","title":"FourierSampler: Unlocking Non-Autoregressive Potential in Diffusion Language Models via Frequency-Guided Generation","created":"2026-01-30","cited_by_count":0,"area":"diffusion"},{"id":"2603.04514","title":"Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding","created":"2026-03-04","cited_by_count":0,"area":"diffusion"},{"id":"2605.09397","title":"BadDLM: Backdooring Diffusion Language Models with Diverse Targets","created":"2026-05-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.14305","title":"Factorization-Error-Free Discrete Diffusion Language Model via Speculative Decoding","created":"2026-05-14","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":"2606.04964","title":"SemBlock: Semantic Boundary Dynamic Blocks for Diffusion LLMs","created":"2026-06-03","cited_by_count":0,"area":"diffusion"},{"id":"2606.08048","title":"Diffusion Language Model Parallel Decoding via Product-of-Experts Bridge","created":"2026-06-06","cited_by_count":0,"area":"diffusion"},{"id":"2606.08411","title":"AsyncLane: Decoupling Refinement from Advancement in Diffusion Language Model Decoding","created":"2026-06-07","cited_by_count":0,"area":"diffusion"},{"id":"2606.09159","title":"Unified Energy for Invariant and Independent Decoding in Diffusion Language Models","created":"2026-06-08","cited_by_count":0,"area":"diffusion"},{"id":"2606.15805","title":"Mean-Field Parallel Decoding for Discrete Diffusion Language Models","created":"2026-06-14","cited_by_count":0,"area":"diffusion"},{"id":"2606.16908","title":"LESS Is More: Mutual-Stability Sampling for Diffusion Language Models","created":"2026-06-15","cited_by_count":0,"area":"diffusion"},{"id":"2607.15655","title":"Adaptive Multi-Step Lookahead Decoding for Diffusion Language Models","created":"2026-07-17","cited_by_count":0,"area":"diffusion"},{"id":"2607.28166","title":"Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language Models","created":"2026-07-30","cited_by_count":0,"area":"diffusion"},{"id":"2608.08086","title":"Archer: Adaptive Reuse of Cached Hidden States for Efficient Rollback in Diffusion Language Models","created":"2026-08-08","cited_by_count":0,"area":"diffusion"}],"next_cursor":"100"}