{"total":96,"rows":[{"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":"2505.15809","title":"MMaDA: Multimodal Large Diffusion Language Models","created":"2025-05-21","cited_by_count":250,"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":"2508.10875","title":"A Survey on Diffusion Language Models","created":"2025-08-14","cited_by_count":78,"area":"diffusion"},{"id":"2505.21467","title":"FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion","created":"2025-05-27","cited_by_count":77,"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":"2509.01025","title":"Any-Order Flexible Length Masked Diffusion","created":"2025-08-31","cited_by_count":51,"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":"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":"2506.14429","title":"LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs","created":"2025-06-17","cited_by_count":40,"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":"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":"2512.14067","title":"Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed","created":"2025-12-16","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":"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":"2512.09106","title":"Learning Unmasking Policies for Diffusion Language Models","created":"2025-12-09","cited_by_count":30,"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":"2510.05725","title":"Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies","created":"2025-10-07","cited_by_count":22,"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":"2509.10396","title":"Inpainting-Guided Policy Optimization for Diffusion Large Language Models","created":"2025-09-12","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":"2509.25171","title":"TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion","created":"2025-09-29","cited_by_count":14,"area":"diffusion"},{"id":"2602.22661","title":"dLLM: Simple Diffusion Language Modeling","created":"2026-02-26","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":"2606.25331","title":"Improved Large Language Diffusion Models","created":"2026-06-24","cited_by_count":14,"area":"diffusion"},{"id":"2507.04832","title":"Discrete Diffusion Trajectory Alignment via Stepwise Decomposition","created":"2025-07-07","cited_by_count":12,"area":"diffusion"},{"id":"2512.02892","title":"Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules","created":"2025-12-02","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":"2512.21446","title":"dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning","created":"2025-12-24","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":"2603.01068","title":"LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model","created":"2026-03-01","cited_by_count":10,"area":"diffusion"},{"id":"2509.21906","title":"Error Analysis of Discrete Flow with Generator Matching","created":"2025-09-26","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":"2601.22527","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":"2509.21912","title":"Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching","created":"2025-09-26","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":"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":"2510.08369","title":"Guided Star-Shaped Masked Diffusion","created":"2025-10-09","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":"2605.23346","title":"Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion","created":"2026-05-22","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":"2509.20863","title":"GIFT: Guided Importance-Aware Fine-Tuning for Diffusion Language Models","created":"2025-09-25","cited_by_count":4,"area":"diffusion"},{"id":"2510.03270","title":"CoDA: Coding LM via Diffusion Adaptation","created":"2025-09-27","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":"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":"2602.05000","title":"Entropy Aware Reward Guidance for Diffusion Language Model Alignment","created":"2026-02-04","cited_by_count":3,"area":"diffusion"},{"id":"2604.06491","title":"Discrete Flow Matching Policy Optimization","created":"2026-04-07","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":"2605.13935","title":"Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models","created":"2026-05-13","cited_by_count":3,"area":"diffusion"},{"id":"2604.18739","title":"Discrete Tilt Matching","created":"2026-04-20","cited_by_count":2,"area":"diffusion"},{"id":"2606.00023","title":"TrustLDM: Benchmarking Trustworthiness in Language Diffusion Models","created":"2026-04-15","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":"2510.23658","title":"Aligning Diffusion Language Models via Unpaired Preference Optimization","created":"2025-10-26","cited_by_count":1,"area":"diffusion"},{"id":"2511.22146","title":"C$^2$DLM: Causal Concept-Guided Diffusion Large Language Models","created":"2025-11-27","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":"2602.02544","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":"2603.02230","title":"Generalized Discrete Diffusion with Self-Correction","created":"2026-02-13","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":"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":"2605.11854","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":"2606.12232","title":"Re-evaluating Confidence Remasking in Masked Diffusion Language Models","created":"2026-06-10","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":"2609.35694","title":"Reasoning with Continuous Latent Diffusion","created":"2026-09-28","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":"2601.22947","title":"Reconsidering Positional Supervision in Masked Diffusion Language Model Training","created":"2026-01-30","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":"2605.13026","title":"Understanding and Accelerating the Training of Masked Diffusion Language Models","created":"2026-05-13","cited_by_count":0,"area":"diffusion"},{"id":"2605.17174","title":"Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation","created":"2026-05-16","cited_by_count":0,"area":"diffusion"},{"id":"2605.24173","title":"Extracting Training Data from Diffusion Language Models via Infilling","created":"2026-05-22","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":"2606.13795","title":"DiPOD: Diffusion Policy Optimization without Drifting Apart","created":"2026-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2606.14792","title":"Efficient Reinforcement for Visual-Textual Thinking with Discrete Diffusion Model","created":"2026-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2607.08056","title":"Reinforcing the Generation Order of Multimodal Masked Diffusion Models","created":"2026-07-09","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":"2608.03032","title":"DDSynth-RL: Audio Synthesizer Inversion via Discrete Diffusion with Reinforcement Learning","created":"2026-08-04","cited_by_count":0,"area":"diffusion"},{"id":"2609.34509","title":"Low-Confidence Remasking Traps Flexibility: Realizing Arbitrary-Order Potential for Diverse Rollouts in Diffusion LLMs","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.36202","title":"FastGuide: Accelerating Reward Guidance for Diffusion Large Language Models","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.38577","title":"Conditional Generation of Creative Chess Puzzles with Diffusion Models","created":"2026-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2609.39859","title":"Fork-dLLM: Avoiding the Flexibility Trap in Diffusion Language Models","created":"2026-09-30","cited_by_count":0,"area":"diffusion"},{"id":"2610.03641","title":"IDRF: Inverse-Distilled Reward Fine-tuning of Masked Discrete Diffusion Models","created":"2026-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2610.03880","title":"Reinforcement Learning on the Discrete Composition Channel of a Crystal Generator: Validated Gains and Reward Hacking","created":"2026-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2610.05373","title":"Towards Unbiased On-Policy Distillation for Block Diffusion Language Models","created":"2026-10-04","cited_by_count":0,"area":"diffusion"},{"id":"2610.10786","title":"Plan-and-Patch: Diffusion Language Models for Agentic Planning","created":"2026-10-07","cited_by_count":0,"area":"diffusion"},{"id":"2610.12340","title":"Ambient Discrete Diffusion: Using the Wrong Data at the Right Time for Data Efficient Learning","created":"2026-10-08","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":"2610.18001","title":"Match the Canvas, Not Just the Answer: Predictability-Aware SFT for Diffusion Language Models","created":"2026-10-13","cited_by_count":0,"area":"diffusion"},{"id":"2610.19080","title":"Backpropagating Verifier Rewards Through Continuous Flow Language Models","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}