{"total":33,"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":"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":"2509.24389","title":"LLaDA-MoE: A Sparse MoE Diffusion Language Model","created":"2025-09-29","cited_by_count":57,"area":"diffusion"},{"id":"2602.08676","title":"LLaDA2.1: Speeding Up Text Diffusion via Token Editing","created":"2026-02-09","cited_by_count":54,"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":"2512.06776","title":"From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs","created":"2025-12-07","cited_by_count":24,"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":"2512.13586","title":"ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding","created":"2025-12-15","cited_by_count":18,"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":"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":"2510.00565","title":"Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability","created":"2025-10-01","cited_by_count":10,"area":"diffusion"},{"id":"2604.02560","title":"Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models","created":"2026-04-02","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":"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":"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":"2609.04010","title":"Unlocking Lossless Speedups in LLMs via Discrete Diffusion","created":"2026-09-03","cited_by_count":2,"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":"2604.18738","title":"Remask, Don't Replace: Token-to-Mask Refinement in Diffusion Language Models","created":"2026-04-20","cited_by_count":1,"area":"diffusion"},{"id":"2606.29094","title":"DiLaServe: High SLO Attainment Serving for Diffusion Language Models","created":"2026-06-27","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":"2605.09397","title":"BadDLM: Backdooring Diffusion Language Models with Diverse Targets","created":"2026-05-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.26436","title":"Targeted Remasking: Replacing Token Editing with Token-to-Mask Refinement in Discrete Diffusion Language Models","created":"2026-04-06","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":"2606.00997","title":"Decoding in Order-Agnostic Language Models: Chain-Rule Deviation and Uniform Spreading","created":"2026-05-31","cited_by_count":0,"area":"diffusion"},{"id":"2608.03769","title":"MDLMPE: Distribution Aware Positional Encoding for Masked Diffusion Language Models","created":"2026-08-04","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":"2609.37924","title":"Time-Anchored Diffusion Language Models: Latent-Space Caching for Fast Generation","created":"2026-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2610.02657","title":"Context-Tower Conversion Preserves Generation While Freezing Retains Knowledge: Low-Budget AR-to-Diffusion Conversion of MoE LLMs","created":"2026-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2610.04198","title":"ALoDLM: Adaptively Looped Diffusion Language Models","created":"2026-10-03","cited_by_count":0,"area":"diffusion"},{"id":"2610.17780","title":"Full-duplex Spoken Language Modeling with Discrete Diffusion","created":"2026-10-13","cited_by_count":0,"area":"diffusion"},{"id":"2610.19271","title":"Outcome-Routed Distillation and Reinforcement Learning for Diffusion Language Models","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}