{"total":22,"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":"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":"2510.05725","title":"Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies","created":"2025-10-07","cited_by_count":22,"area":"diffusion"},{"id":"2509.25035","title":"Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct","created":"2025-09-29","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":"2503.16400","title":"ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos","created":"2025-03-20","cited_by_count":12,"area":"diffusion"},{"id":"2507.00445","title":"Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design","created":"2025-07-01","cited_by_count":11,"area":"diffusion"},{"id":"2509.22963","title":"Reinforcement Learning with Discrete Diffusion Policies for Combinatorial Action Spaces","created":"2025-09-26","cited_by_count":7,"area":"diffusion"},{"id":"2510.10767","title":"Understanding Sampler Stochasticity in Training Diffusion Models for RLHF","created":"2025-10-12","cited_by_count":7,"area":"diffusion"},{"id":"2602.09424","title":"Reward-Guided Discrete Diffusion via Clean-Sample Markov Chain for Molecule and Biological Sequence Design","created":"2026-02-10","cited_by_count":6,"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":"2602.06462","title":"Diffusion-State Policy Optimization for Masked Diffusion Language Models","created":"2026-02-06","cited_by_count":4,"area":"diffusion"},{"id":"2601.22057","title":"Unsupervised Decomposition and Recombination with Discriminator-Driven Diffusion Models","created":"2026-01-29","cited_by_count":3,"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":"2606.06303","title":"Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction","created":"2026-06-04","cited_by_count":3,"area":"diffusion"},{"id":"2606.13565","title":"A2D2: Fine-Tuning Any-Length Discrete Diffusion for Adaptive Decoding","created":"2026-06-11","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":"2606.15048","title":"Temporal Difference Learning for Diffusion Models","created":"2026-06-13","cited_by_count":1,"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"}],"next_cursor":null}