{"total":30,"rows":[{"id":"2512.15745","title":"LLaDA2.0: Scaling Up Diffusion Language Models to 100B","created":"2025-12-10","cited_by_count":166,"area":"diffusion"},{"id":"2510.06303","title":"SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation","created":"2025-10-07","cited_by_count":129,"area":"diffusion"},{"id":"2604.08302","title":"DMax: Aggressive Parallel Decoding for dLLMs","created":"2026-04-09","cited_by_count":18,"area":"diffusion"},{"id":"2509.23286","title":"A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models","created":"2025-09-27","cited_by_count":9,"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":"2607.04428","title":"dOPSD: On-Policy Self-Distillation for Diffusion Language Models","created":"2026-07-05","cited_by_count":6,"area":"diffusion"},{"id":"2510.05148","title":"Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs","created":"2025-10-02","cited_by_count":4,"area":"diffusion"},{"id":"2601.21647","title":"ILRR: Inference-Time Steering Method for Masked Diffusion Language Models","created":"2026-01-29","cited_by_count":4,"area":"diffusion"},{"id":"2604.26985","title":"Simple Self-Conditioning Adaptation for Masked Diffusion Models","created":"2026-04-28","cited_by_count":4,"area":"diffusion"},{"id":"2511.19152","title":"Masked Diffusion Models are Secretly Learned-Order Autoregressive Models","created":"2025-11-24","cited_by_count":3,"area":"diffusion"},{"id":"2512.10877","title":"Guided Transfer Learning for Discrete Diffusion Models","created":"2025-12-11","cited_by_count":3,"area":"diffusion"},{"id":"2606.14620","title":"Neither Parallel Nor Sequential: How DiffusionGemma Actually Commits Tokens","created":"2026-06-12","cited_by_count":3,"area":"diffusion"},{"id":"2602.04188","title":"DiMo: Discrete Diffusion Modeling for Motion Generation and Understanding","created":"2026-02-04","cited_by_count":2,"area":"diffusion"},{"id":"2602.22246","title":"Self-Purification Mitigates Backdoors in Multimodal Diffusion Language Models","created":"2026-02-24","cited_by_count":2,"area":"diffusion"},{"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":"2602.15870","title":"VDLM: Variable Diffusion LMs via Robust Latent-to-Text Rendering","created":"2026-01-27","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":"2510.01028","title":"Syntax-Guided Diffusion Language Models with User-Integrated Personalization","created":"2025-10-01","cited_by_count":0,"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":"2603.02760","title":"Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration","created":"2026-03-03","cited_by_count":0,"area":"diffusion"},{"id":"2603.14275","title":"Controllable Accent Normalization via Discrete Diffusion","created":"2026-03-15","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":"2606.27732","title":"Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation","created":"2026-06-26","cited_by_count":0,"area":"diffusion"},{"id":"2609.04778","title":"Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges","created":"2026-09-04","cited_by_count":0,"area":"diffusion"},{"id":"2609.24657","title":"Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models","created":"2026-09-21","cited_by_count":0,"area":"diffusion"},{"id":"2609.27306","title":"Discrete Diffusion Models via Evolving Variational Autoregressive Networks","created":"2026-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2609.30841","title":"Why Jailbreaks Succeed in Diffusion Language Models: An Energy Landscape Analysis","created":"2026-09-25","cited_by_count":0,"area":"diffusion"},{"id":"2609.35362","title":"d-OPD: Future-Aware On-Policy Distillation for Block Diffusion Language Models","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2610.02128","title":"Sample complexity bounds for categorical Markov random fields via Discrete Diffusions","created":"2026-10-01","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}