{"list":"closest","total":54,"rows":[{"id":"2606.13565","title":"A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding","created":"2026-06-11","cited_by_count":2},{"id":"2606.02133","title":"Variational Learning for Insertion-based Generation","created":"2026-06-01","cited_by_count":2},{"id":"2605.11125","title":"Language Modeling with Hyperspherical Flows","created":"2026-05-11","cited_by_count":22},{"id":"2605.10938","title":"ELF: Embedded Language Flows","created":"2026-05-11","cited_by_count":45},{"id":"2605.07013","title":"CoBit: Language Modeling with Bitstream Diffusion","created":"2026-05-07","cited_by_count":10},{"id":"2604.11748","title":"LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling","created":"2026-04-13","cited_by_count":36},{"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},{"id":"2604.00375","title":"Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models","created":"2026-04-01","cited_by_count":5},{"id":"2603.04893","title":"Free Lunch for Pass@$k$? Low Cost Diverse Sampling for Diffusion Language Models","created":"2026-03-05","cited_by_count":5},{"id":"2603.20216","title":"Locally Coherent Parallel Decoding in Diffusion Language Models","created":"2026-03-03","cited_by_count":3},{"id":"2603.02547","title":"CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think","created":"2026-03-03","cited_by_count":14},{"id":"2602.23225","title":"Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?","created":"2026-02-26","cited_by_count":11},{"id":"2602.19980","title":"Discrete Diffusion Models Exploit Asymmetry to Solve Lookahead Planning Tasks","created":"2026-02-23","cited_by_count":4},{"id":"2602.16813","title":"Flow Map Language Models: One-step Language Modeling via Continuous Denoising","created":"2026-02-18","cited_by_count":66},{"id":"2602.11590","title":"Learn from Your Mistakes: Self-Correcting Masked Diffusion Models","created":"2026-02-12","cited_by_count":13},{"id":"2602.10314","title":"Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training","created":"2026-02-10","cited_by_count":10},{"id":"2602.08676","title":"LLaDA2.1: Speeding Up Text Diffusion via Token Editing","created":"2026-02-09","cited_by_count":54},{"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},{"id":"2602.15870","title":"VDLM: Variable Diffusion LMs via Robust Latent-to-Text Rendering","created":"2026-01-27","cited_by_count":1},{"id":"2512.21446","title":"dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning","created":"2025-12-24","cited_by_count":10},{"id":"2512.13586","title":"ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding","created":"2025-12-15","cited_by_count":18},{"id":"2512.10858","title":"Scaling Behavior of Discrete Diffusion Language Models","created":"2025-12-11","cited_by_count":35},{"id":"2512.09106","title":"Learning Unmasking Policies for Diffusion Language Models","created":"2025-12-09","cited_by_count":30},{"id":"2511.08923","title":"TiDAR: Think in Diffusion, Talk in Autoregression","created":"2025-11-12","cited_by_count":37},{"id":"2510.22510","title":"CANDI: Hybrid Discrete-Continuous Diffusion Models","created":"2025-10-26","cited_by_count":34},{"id":"2510.05725","title":"Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies","created":"2025-10-07","cited_by_count":22},{"id":"2510.04573","title":"LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning","created":"2025-10-06","cited_by_count":29},{"id":"2510.04525","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","created":"2025-10-06","cited_by_count":10},{"id":"2510.03206","title":"Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner","created":"2025-10-03","cited_by_count":32},{"id":"2510.01384","title":"Fine-Tuning Masked Diffusion for Provable Self-Correction","created":"2025-10-01","cited_by_count":39},{"id":"2510.01329","title":"Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling","created":"2025-10-01","cited_by_count":34},{"id":"2509.23653","title":"Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models","created":"2025-09-28","cited_by_count":37},{"id":"2509.01142","title":"Dream-Coder 7B: An Open Diffusion Language Model for Code","created":"2025-09-01","cited_by_count":81},{"id":"2509.01025","title":"Any-Order Flexible Length Masked Diffusion","created":"2025-08-31","cited_by_count":51},{"id":"2509.00707","title":"Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs","created":"2025-08-31","cited_by_count":10},{"id":"2508.15487","title":"Dream 7B: Diffusion Large Language Models","created":"2025-08-21","cited_by_count":544},{"id":"2508.02193","title":"Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference","created":"2025-08-04","cited_by_count":178},{"id":"2506.21170","title":"Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling","created":"2025-06-26","cited_by_count":25},{"id":"2506.20639","title":"DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation","created":"2025-06-25","cited_by_count":187},{"id":"2506.10892","title":"The Diffusion Duality","created":"2025-06-12","cited_by_count":135},{"id":"2505.24857","title":"Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking","created":"2025-05-30","cited_by_count":131},{"id":"2503.00307","title":"Remasking Discrete Diffusion Models with Inference-Time Scaling","created":"2025-03-01","cited_by_count":189},{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912},{"id":"2502.06768","title":"Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions","created":"2025-02-10","cited_by_count":214},{"id":"2502.03540","title":"Path Planning for Masked Diffusion Model Sampling","created":"2025-02-05","cited_by_count":80},{"id":"2412.11333","title":"Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models","created":"2024-12-15","cited_by_count":4},{"id":"2410.14157","title":"Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning","created":"2024-10-18","cited_by_count":135},{"id":"2409.02908","title":"Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling","created":"2024-09-04","cited_by_count":208},{"id":"2406.07524","title":"Simple and Effective Masked Diffusion Language Models","created":"2024-06-11","cited_by_count":848},{"id":"2406.04329","title":"Simplified and Generalized Masked Diffusion for Discrete Data","created":"2024-06-06","cited_by_count":626},{"id":"2406.03736","title":"Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data","created":"2024-06-06","cited_by_count":381},{"id":"2306.02531","title":"PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model","created":"2023-06-05","cited_by_count":58},{"id":"2212.11685","title":"Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise","created":"2022-12-22","cited_by_count":79},{"id":"2212.09462","title":"Latent Diffusion for Language Generation","created":"2022-12-19","cited_by_count":115}],"next_cursor":null}