{"total":79,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2508.15487","title":"Dream 7B: Diffusion Large Language Models","created":"2025-08-21","cited_by_count":544,"area":"diffusion"},{"id":"2310.03739","title":"Aligning Text-to-Image Diffusion Models with Reward Backpropagation","created":"2023-10-05","cited_by_count":288,"area":"diffusion"},{"id":"2410.17891","title":"Scaling Diffusion Language Models via Adaptation from Autoregressive Models","created":"2024-10-23","cited_by_count":274,"area":"diffusion"},{"id":"2505.16933","title":"LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning","created":"2025-05-22","cited_by_count":148,"area":"mllm"},{"id":"2305.09515","title":"AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation","created":"2023-05-16","cited_by_count":118,"area":"diffusion"},{"id":"2508.10875","title":"A Survey on Diffusion Language Models","created":"2025-08-14","cited_by_count":78,"area":"diffusion"},{"id":"2302.04611","title":"A Text-guided Protein Design Framework","created":"2023-02-09","cited_by_count":64,"area":null},{"id":"2402.08680","title":"Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance","created":"2024-02-13","cited_by_count":46,"area":"mllm"},{"id":"2605.10938","title":"ELF: Embedded Language Flows","created":"2026-05-11","cited_by_count":45,"area":"diffusion"},{"id":"2310.05793","title":"DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models","created":"2023-10-09","cited_by_count":36,"area":"diffusion"},{"id":"2509.02785","title":"DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off","created":"2025-09-02","cited_by_count":34,"area":null},{"id":"2408.03400","title":"Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey","created":"2024-08-06","cited_by_count":32,"area":"diffusion"},{"id":"2310.17680","title":"CodeFusion: A Pre-trained Diffusion Model for Code Generation","created":"2023-10-26","cited_by_count":31,"area":"diffusion"},{"id":"2510.04147","title":"Self Speculative Decoding for Diffusion Large Language Models","created":"2025-10-05","cited_by_count":30,"area":"inference"},{"id":"2308.14177","title":"AI-Generated Content (AIGC) for Various Data Modalities: A Survey","created":"2023-08-27","cited_by_count":25,"area":null},{"id":"2510.22852","title":"Encoder-Decoder Diffusion Language Models for Efficient Training and Inference","created":"2025-10-26","cited_by_count":24,"area":"diffusion"},{"id":"2506.00290","title":"DLM-One: Diffusion Language Models for One-Step Sequence Generation","created":"2025-05-30","cited_by_count":20,"area":"diffusion"},{"id":"2509.20624","title":"FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models","created":"2025-09-24","cited_by_count":17,"area":"diffusion"},{"id":"2303.07576","title":"Diffusion Models in NLP: A Survey","created":"2023-03-14","cited_by_count":16,"area":"diffusion"},{"id":"2305.14671","title":"A Survey of Diffusion Models in Natural Language Processing","created":"2023-05-24","cited_by_count":16,"area":"diffusion"},{"id":"2310.15296","title":"DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM","created":"2023-10-23","cited_by_count":16,"area":"diffusion"},{"id":"2408.13055","title":"Atlas Gaussians Diffusion for 3D Generation","created":"2024-08-23","cited_by_count":15,"area":"diffusion"},{"id":"2602.22661","title":"dLLM: Simple Diffusion Language Modeling","created":"2026-02-26","cited_by_count":14,"area":"diffusion"},{"id":"2403.03726","title":"Diffusion on language model encodings for protein sequence generation","created":"2024-03-06","cited_by_count":11,"area":"diffusion"},{"id":"2308.12097","title":"Instruction Position Matters in Sequence Generation with Large Language Models","created":"2023-08-23","cited_by_count":10,"area":null},{"id":"2402.19009","title":"Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding","created":"2024-02-29","cited_by_count":10,"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":"2411.03250","title":"DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models","created":"2024-11-05","cited_by_count":9,"area":"diffusion"},{"id":"2412.17522","title":"DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak","created":"2024-12-23","cited_by_count":9,"area":"diffusion"},{"id":"2505.11892","title":"Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform","created":"2025-05-17","cited_by_count":9,"area":null},{"id":"2310.17705","title":"A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication","created":"2023-10-26","cited_by_count":8,"area":null},{"id":"2505.18853","title":"Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation","created":"2025-05-24","cited_by_count":8,"area":"diffusion"},{"id":"2505.16284","title":"Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse","created":"2025-05-22","cited_by_count":7,"area":null},{"id":"2601.17917","title":"Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding","created":"2026-01-25","cited_by_count":7,"area":"inference"},{"id":"2401.17181","title":"Transfer Learning for Text Diffusion Models","created":"2024-01-30","cited_by_count":6,"area":"diffusion"},{"id":"2601.20520","title":"Context Tokens are Anchors: Understanding the Repetition Curse in dMLLMs from an Information Flow Perspective","created":"2026-01-28","cited_by_count":6,"area":"mllm"},{"id":"2411.06438","title":"Conditional [MASK] Discrete Diffusion Language Model","created":"2024-11-10","cited_by_count":5,"area":"diffusion"},{"id":"2501.08246","title":"Text-Diffusion Red-Teaming of Large Language Models: Unveiling Harmful Behaviors with Proximity Constraints","created":"2025-01-14","cited_by_count":5,"area":"safety"},{"id":"2601.20125","title":"Membership Inference Attacks Against Fine-tuned Diffusion Language Models","created":"2026-01-27","cited_by_count":5,"area":"diffusion"},{"id":"2604.00007","title":"Dynin-Omni: Omnimodal Unified Large Diffusion Language Model","created":"2026-03-09","cited_by_count":5,"area":"diffusion"},{"id":"2604.02028","title":"Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?","created":"2026-04-02","cited_by_count":5,"area":"diffusion"},{"id":"2605.07748","title":"TextLDM: Language Modeling with Continuous Latent Diffusion","created":"2026-05-08","cited_by_count":5,"area":"diffusion"},{"id":"2401.01130","title":"Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models","created":"2024-01-02","cited_by_count":4,"area":"diffusion"},{"id":"2404.15660","title":"KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering","created":"2024-04-24","cited_by_count":4,"area":null},{"id":"2409.09828","title":"Latent Diffusion Models for Controllable RNA Sequence Generation","created":"2024-09-15","cited_by_count":4,"area":"diffusion"},{"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,"area":"diffusion"},{"id":"2307.13560","title":"XDLM: Cross-lingual Diffusion Language Model for Machine Translation","created":"2023-07-25","cited_by_count":3,"area":"diffusion"},{"id":"2312.04382","title":"Adversarial Denoising Diffusion Model for Unsupervised Anomaly Detection","created":"2023-12-07","cited_by_count":3,"area":"diffusion"},{"id":"2508.11110","title":"Diffusion is a code repair operator and generator","created":"2025-08-14","cited_by_count":3,"area":"diffusion"},{"id":"2511.08150","title":"DiffuGR: Generative Document Retrieval with Diffusion Language Models","created":"2025-11-11","cited_by_count":3,"area":"diffusion"},{"id":"2511.16917","title":"UniModel: A Visual-Only Framework for Unified Multimodal Understanding and Generation","created":"2025-11-21","cited_by_count":3,"area":"diffusion"},{"id":"2603.26211","title":"Towards GUI Agents: Vision-Language Diffusion Models for GUI Grounding","created":"2026-03-27","cited_by_count":3,"area":"mllm"},{"id":"2401.14111","title":"Image Synthesis with Graph Conditioning: CLIP-Guided Diffusion Models for Scene Graphs","created":"2024-01-25","cited_by_count":2,"area":"diffusion"},{"id":"2404.02003","title":"AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design","created":"2024-04-02","cited_by_count":2,"area":"diffusion"},{"id":"2404.11973","title":"A critical review of methods and challenges in large language models","created":"2024-04-18","cited_by_count":2,"area":null},{"id":"2410.13201","title":"Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration","created":"2024-10-17","cited_by_count":2,"area":"diffusion"},{"id":"2510.26200","title":"Don't Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation","created":"2025-10-30","cited_by_count":2,"area":"diffusion"},{"id":"2512.05092","title":"Foundations of Diffusion Models in General State Spaces: A Self-Contained Introduction","created":"2025-12-04","cited_by_count":2,"area":"diffusion"},{"id":"2601.19501","title":"Masked Diffusion Generative Recommendation","created":"2026-01-27","cited_by_count":2,"area":"diffusion"},{"id":"2604.00666","title":"TRIMS: Trajectory-Ranked Instruction Masked Supervision for Diffusion Language Models","created":"2026-04-01","cited_by_count":2,"area":"diffusion"},{"id":"2604.10556","title":"Lost in Diffusion: Uncovering Hallucination Patterns and Failure Modes in Diffusion Large Language Models","created":"2026-04-12","cited_by_count":2,"area":null},{"id":"2606.19475","title":"Diffusion Language Models: An Experimental Analysis","created":"2026-06-17","cited_by_count":2,"area":"diffusion"},{"id":"2607.01775","title":"Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding","created":"2026-07-02","cited_by_count":2,"area":"diffusion"},{"id":"2411.16821","title":"Logit-KL Flow Matching: Non-Autoregressive Text Generation via Sampling-Hybrid Inference","created":"2024-11-25","cited_by_count":1,"area":"diffusion"},{"id":"2504.06543","title":"DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completion","created":"2025-04-09","cited_by_count":1,"area":"diffusion"},{"id":"2505.14513","title":"Latent Flow Transformer","created":"2025-05-20","cited_by_count":1,"area":"diffusion"},{"id":"2508.10995","title":"Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling","created":"2025-08-14","cited_by_count":1,"area":"lr"},{"id":"2605.19726","title":"Efficient Long-Context Modeling in Diffusion Language Models via Block Approximate Sparse Attention","created":"2026-05-19","cited_by_count":1,"area":"diffusion"},{"id":"2607.26504","title":"From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models","created":"2026-07-29","cited_by_count":1,"area":"diffusion"},{"id":"2409.09568","title":"Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?","created":"2024-09-15","cited_by_count":0,"area":null},{"id":"2409.13739","title":"Table-to-Text Generation with Pretrained Diffusion Models","created":"2024-09-10","cited_by_count":0,"area":"diffusion"},{"id":"2410.19512","title":"Marked Temporal Bayesian Flow Point Processes","created":"2024-10-25","cited_by_count":0,"area":null},{"id":"2412.10814","title":"Learning Satellite Pattern-of-Life Identification: A Diffusion-based Approach","created":"2024-12-14","cited_by_count":0,"area":null},{"id":"2509.23718","title":"Diff-3DCap: Shape Captioning with Diffusion Models","created":"2025-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2602.01807","title":"Sentence Curve Language Models","created":"2026-02-02","cited_by_count":0,"area":"diffusion"},{"id":"2602.20209","title":"Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control","created":"2026-02-23","cited_by_count":0,"area":"diffusion"},{"id":"2606.23690","title":"Beyond the Autoregressive Horizon: A Comprehensive Survey of Diffusion Models, World Modelling, and State Space Models for Code","created":"2026-04-09","cited_by_count":0,"area":"wm"},{"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}],"next_cursor":null}