{"total":70,"rows":[{"id":"2509.26328","title":"Fast-dLLM v2: Efficient Block-Diffusion LLM","created":"2025-09-30","cited_by_count":139,"area":null},{"id":"2509.26488","title":"dParallel: Learnable Parallel Decoding for dLLMs","created":"2025-09-30","cited_by_count":65,"area":"inference"},{"id":"2511.05664","title":"KLASS: KL-Guided Fast Inference in Masked Diffusion Models","created":"2025-11-07","cited_by_count":47,"area":"diffusion"},{"id":"2509.26432","title":"AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size","created":"2025-09-30","cited_by_count":31,"area":"inference"},{"id":"2510.04147","title":"Self Speculative Decoding for Diffusion Large Language Models","created":"2025-10-05","cited_by_count":30,"area":"inference"},{"id":"2512.09106","title":"Learning Unmasking Policies for Diffusion Language Models","created":"2025-12-09","cited_by_count":30,"area":"diffusion"},{"id":"2509.25188","title":"Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding","created":"2025-09-29","cited_by_count":27,"area":"inference"},{"id":"2509.23094","title":"d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching","created":"2025-09-27","cited_by_count":25,"area":"inference"},{"id":"2602.10825","title":"Flow caching for autoregressive video generation","created":"2026-02-11","cited_by_count":25,"area":null},{"id":"2510.07081","title":"Accelerating Diffusion LLM Inference via Local Determinism Propagation","created":"2025-10-08","cited_by_count":21,"area":"inference"},{"id":"2512.16229","title":"LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding","created":"2025-12-18","cited_by_count":17,"area":"inference"},{"id":"2512.04459","title":"dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning","created":"2025-12-04","cited_by_count":14,"area":"lr"},{"id":"2601.02076","title":"Deferred Commitment Decoding for Diffusion Language Models","created":"2026-01-05","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":"2602.23225","title":"Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?","created":"2026-02-26","cited_by_count":11,"area":"lr"},{"id":"2510.01544","title":"Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards","created":"2025-10-02","cited_by_count":10,"area":"lr"},{"id":"2510.11052","title":"Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States","created":"2025-10-13","cited_by_count":9,"area":null},{"id":"2510.18087","title":"Planned Diffusion","created":"2025-10-20","cited_by_count":9,"area":"diffusion"},{"id":"2512.02044","title":"Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language Models","created":"2025-11-26","cited_by_count":9,"area":"diffusion"},{"id":"2602.07035","title":"DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents","created":"2026-02-03","cited_by_count":8,"area":"agents"},{"id":"2512.07173","title":"Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration","created":"2025-12-08","cited_by_count":7,"area":null},{"id":"2511.21759","title":"Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models","created":"2025-11-24","cited_by_count":5,"area":"diffusion"},{"id":"2510.19990","title":"Rethinking Reasoning with MDLMs: Early Exits, Post-hoc Reasoning, and Beyond","created":"2025-10-22","cited_by_count":4,"area":"lr"},{"id":"2512.12168","title":"Diffusion Language Model Inference with Monte Carlo Tree Search","created":"2025-12-13","cited_by_count":4,"area":"diffusion"},{"id":"2604.08964","title":"Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models","created":"2026-04-10","cited_by_count":4,"area":null},{"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":"2510.15244","title":"Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning","created":"2025-10-17","cited_by_count":3,"area":"lr"},{"id":"2511.15098","title":"A Comprehensive Study on Visual Token Redundancy for Discrete Diffusion-based Multimodal Large Language Models","created":"2025-11-19","cited_by_count":3,"area":"mllm"},{"id":"2601.11342","title":"Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models","created":"2026-01-16","cited_by_count":3,"area":"rag"},{"id":"2602.10953","title":"Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models","created":"2026-02-11","cited_by_count":3,"area":"diffusion"},{"id":"2607.03236","title":"TACG: Trajectory-Aware Commit Gating for Diffusion Language Model Decoding","created":"2026-07-03","cited_by_count":3,"area":"diffusion"},{"id":"2602.11133","title":"Just on Time: Token-Level Early Stopping for Diffusion Language Models","created":"2026-02-11","cited_by_count":2,"area":"diffusion"},{"id":"2604.08557","title":"Re-Mask and Redirect: Exploiting Denoising Irreversibility in Diffusion Language Models","created":"2026-03-17","cited_by_count":2,"area":"diffusion"},{"id":"2605.20179","title":"TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload","created":"2026-05-19","cited_by_count":2,"area":"moe"},{"id":"2601.03199","title":"DIP: Dynamic In-Context Planner For Diffusion Language Models","created":"2026-01-06","cited_by_count":1,"area":"diffusion"},{"id":"2603.01025","title":"One-Token Verification for Reasoning Correctness Estimation","created":"2026-03-01","cited_by_count":1,"area":"lr"},{"id":"2603.13450","title":"LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models","created":"2026-03-13","cited_by_count":1,"area":"diffusion"},{"id":"2603.26675","title":"GeoBlock: Inferring Block Granularity from Dependency Geometry in Diffusion Language Models","created":"2026-03-04","cited_by_count":1,"area":"diffusion"},{"id":"2604.06330","title":"STDec: Spatio-Temporal Stability Guided Decoding for dLLMs","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2605.12522","title":"Differences in Text Generated by Diffusion and Autoregressive Language Models","created":"2026-04-04","cited_by_count":1,"area":"diffusion"},{"id":"2605.24697","title":"The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models","created":"2026-05-23","cited_by_count":1,"area":"diffusion"},{"id":"2605.24832","title":"Optimus: Elastic Decoding for Efficient Diffusion LLM Serving","created":"2026-05-24","cited_by_count":1,"area":"inference"},{"id":"2605.30753","title":"Efficient Diffusion LLMs via Temporal-Spatial Parallel Decoding and Confidence Extrapolation","created":"2026-05-29","cited_by_count":1,"area":"inference"},{"id":"2606.08810","title":"Continuous Language Diffusion as a Decoder-Interface Problem","created":"2026-06-07","cited_by_count":1,"area":"diffusion"},{"id":"2606.16847","title":"Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2606.17999","title":"VoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic Termination","created":"2026-06-16","cited_by_count":1,"area":"diffusion"},{"id":"2606.19349","title":"Where to Place the Query? Unveiling and Mitigating Positional Bias in In-Context Learning for Diffusion LLMs via Decoding Dynamics","created":"2026-04-26","cited_by_count":1,"area":null},{"id":"2606.23567","title":"Scheduling Thoughts: Learning the Order of Thought in Diffusion Language Models","created":"2026-06-22","cited_by_count":1,"area":"lr"},{"id":"2607.14107","title":"Polestar: Drift-Aware Cache Calibration and Token Commitment for Efficient Inference of Diffusion LLMs","created":"2026-05-07","cited_by_count":1,"area":"inference"},{"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":"2609.29102","title":"ELF-REG: Scaling Continuous Diffusion Language Models to Reasoning Tasks","created":"2026-09-24","cited_by_count":1,"area":"lr"},{"id":"2603.04514","title":"Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding","created":"2026-03-04","cited_by_count":0,"area":"diffusion"},{"id":"2603.05454","title":"Beyond Scattered Acceptance: Fast and Coherent Inference for DLMs via Longest Stable Prefixes","created":"2026-03-05","cited_by_count":0,"area":"diffusion"},{"id":"2605.01373","title":"Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast","created":"2026-05-02","cited_by_count":0,"area":null},{"id":"2605.10980","title":"LEAP: Unlocking dLLM Parallelism via Lookahead Early-Convergence Token Detection","created":"2026-05-09","cited_by_count":0,"area":"diffusion"},{"id":"2605.18817","title":"Multi-Token Residual Prediction","created":"2026-05-12","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":"2606.16908","title":"LESS Is More: Mutual-Stability Sampling for Diffusion Language Models","created":"2026-06-15","cited_by_count":0,"area":"diffusion"},{"id":"2608.22367","title":"Context-Aware Cluster Decoding: Semantic Anchor-Driven Coherence in dMLLMs","created":"2026-08-23","cited_by_count":0,"area":"mllm"},{"id":"2608.26374","title":"Survival-Guided Length Control for Efficient Diffusion Language Models","created":"2026-08-26","cited_by_count":0,"area":"diffusion"},{"id":"2608.26574","title":"Dependency-Aware Revocable Decoding for Efficient Diffusion Large Language Model Inference","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2608.26580","title":"Visual Information-Guided Parallel Decoding for Diffusion Multimodal Large Language Models","created":"2026-08-27","cited_by_count":0,"area":"mllm"},{"id":"2608.26641","title":"Information-Guided Frontier Decoding: Contextual Utility-Driven Commitment in dMLLMs","created":"2026-08-27","cited_by_count":0,"area":"mllm"},{"id":"2609.16450","title":"Early-Bird Decoding: Accelerating Diffusion LLMs with Learnable Block Sizes and Parallel Sampling","created":"2026-09-15","cited_by_count":0,"area":"inference"},{"id":"2609.26796","title":"Flash-dLLM: IO-Aware KV Caching and Parallel Decoding for Fast, Memory-Efficient Diffusion LLMs","created":"2026-09-22","cited_by_count":0,"area":"inference"},{"id":"2609.34772","title":"Before the Token Commits: Trajectory-Level Benchmarking of Visual Hallucinations in Diffusion VLMs","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2609.36357","title":"HyperZip: Efficient Data Compression through Personalized Diffusion LLMs with Hypernetworks","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.00953","title":"Two Clocks in Diffusion MLLMs: When Answers Stabilize Before Rationales Unfold","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.10990","title":"Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models","created":"2026-10-07","cited_by_count":0,"area":null},{"id":"2610.15097","title":"Anchors Enhance Controllability and Reasoning of Diffusion Language Models","created":"2026-10-10","cited_by_count":0,"area":"lr"}],"next_cursor":null}