Generative Models

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Period ending 2026-09-21

28 new papers

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Period ending 2026-09-14

26 new papers

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Period ending 2026-09-07

31 new papers

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  1. Data Turnstile: A Scalable Open Framework for Function-Calling Data Generation

    Jul 31, 2026Goutham Ramakrishnan, Megha SharmaAgentic BenchmarksSmall Language Models

  2. StraightDP: Geometry-Aware Differential Privacy for Rectified-Flow Transformers

    Jul 31, 2026Xujun Che, Depeng Xu, Xintao WuDifferential PrivacyRectified Flow

  3. Representations from Pretrained Machine-Learning Interatomic Potentials as Coarse Coordinates for Material Generation and Evaluation

    Jul 30, 2026Paul Hagemann, Katharina Ueltzen, Simon Müller +2Crystal StructureInteratomic Potentials

  4. ViewMind3D: Modular View-Aware Inference for Training-Free 3D-QA

    Jul 30, 2026Ping-Kun Chiang, Kun-Ru Wu, Po-han Li +33D Spatial ReasoningTraining-Free

  5. RIPPLE: Generating Multi-Channel Phase, Not Recovering It

    Jul 30, 2026Jaehyuk Lee, Yeajin Lee, Dayeon Shin +1Spectral ReconstructionFull Waveform Inversion

  6. EgoGVAE: Ego-body Mesh Reconstruction via Guided Variational Autoencoder

    Jul 30, 2026Jaehun Jung, Wonjun KimHuman Mesh RecoveryVariational Autoencoder

  7. Error Analysis of Neural-Network-Based Engression

    Jul 30, 2026Juntong Chen, Zijian Guo, Xinwei ShenNeural-Network ApproximationConditional Distribution

  8. SE(3)-MeanFlow: Few-Step Protein Backbone Generation on Lie Groups

    Jul 29, 2026Yikun Bai, Binghang Lu, Yikai Liu +7Protein DesignGenerative Models

  9. Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation

    Jul 29, 2026Alexi Gladstone, Heng Ji, Yilun DuGenerative ModelsGenerative Framework

  10. Bunraku: Turning a Single Illustration into an Editable Live2D Character

    Jul 29, 2026Junhao Chen, Jingjia Mao, Dayong Li +6High-Fidelity Avatar3D Generative Models

  11. Equilibrium Training of Energy-Based Models with Parallel Trajectory Tempering

    Jul 29, 2026Nicolas Béreux, Aurélien Decelle, Cyril Furtlehner +1Markov Chain Monte CarloExpectation-Maximization

  12. BayesAME: Bayesian Active Model Evaluation

    Jul 29, 2026Paula Cordero Encinar, Taylan Cemgil, Arnaud Doucet +2Geometry-Aware Uncertainty CoresetsModel Selection

  13. LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation

    Jul 29, 2026Rongxiang Zhang, Songhua LiuTalkFew-Step Generation

  14. StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation

    Jul 29, 2026Zijun Lin, Zeqing Wang, Cheston Tan +2World ModelsLarge-Scale Video Generation Models

  15. FPSGen: Flexible Point Cloud Scene Generation with BEV-Supported Transport Flows

    Jul 29, 2026Wenzhe He, Meng Wang, JiaWei Qian +3Indoor Scene GenerationGenerative Models

  16. From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models

    Jul 29, 2026Seunggeun Kim, Jaeyeon Kim, Taekyun Lee +4Masked Diffusion Language ModelsAutoregressive Language Models

  17. Existence-Field Diffusion Model for Spatial Point Processes with Variable Cardinality

    Jul 29, 2026Xiaoyin Pan, Christian R. Shelton, Rakshith Mahishi +1Determinantal Point ProcessDiffusion Processes

  18. Noise-Robust Conditional Flow Matching: Generating Clean Samples from Noisy Datasets

    Jul 28, 2026Adrian Urbański, Gabriel della Maggiora, Artur YakimovichGenerative ModelsConditional Flow Matching

  19. LaP-Forensics: Latent-Pixel Consistency Guided Multimodal Reasoning for Deepfake Detection

    Jul 28, 2026Can Wang, Yuhao Wang, Yushe Cao +2Deepfake DetectionDigital Forensics

  20. Can Deep Generative Models Reproduce Non-Stationary Gaussian Random Fields?

    Jul 28, 2026Daniel Kua, Yan SongGenerative ModelsGaussian Process

  21. From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations

    Jul 28, 2026Abhishek A. Sabnis, Mihai Mitrea, Lya Lugon +5Air PollutionGenerative Models

  22. Generative Distributionally Robust Optimization

    Jul 27, 2026Ziwei Zhang, Jonathan Yu-Meng Li, Zhihao JinRobust OptimizationDistributional Learning

  23. When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening--Drift Tension and an Impossibility for Observation-Based Correction

    Jul 27, 2026Tianpeng Li, Xuan Guo, Wenjun Wang +2Temporal GraphsGenerative Models

  24. Rethinking the Generation Order of Block Diffusion Language Models

    Jul 27, 2026Kai Syun Hou, James KwokDiffusion Language ModelsAutoregressive Decoding

  25. CAGE: Cognitive Attribution Graphs for Faithful Inline Citation Generation in Long-Form Question Answering

    Jul 27, 2026Zhichao Yan, Shizhao Li, Jiapu Wang +5CitationsLarge Reasoning Models

  26. DailyBench: A Unified Benchmark for AI-Generated and Manipulated Images from Modern Generative Models

    Jul 27, 2026Xin Jiang, Hao Tang, Junyao Gao +4Ai-Generated Image DetectionGenerative Models

  27. Joint Flow Matching for Generator-Consistent Classification

    Jul 27, 2026Hayden McAlister, Lech SzymanskiConditional Flow MatchingGenerative Models

  28. OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation

    Jul 26, 2026Jun Zhan, Chen Yang, Yitian Gong +23Joint Audio-Video GenerationAudio Latent

  29. Offline-to-Online Creative Optimization with Generative Models and Adaptive Testing

    Jul 26, 2026Kevin Lee, Benjamin Letham, Zhiyuan Jerry Lin +5CreativityGenerative Models

  30. Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles?

    Jul 26, 2026Hai Hu, Siyuan Song, Chongtian Shao +3MemorizationData Generation

  31. NeurGO: Learning to Generate Elite Candidates for Meta-Black-Box Expensive Optimization

    Jul 26, 2026Jintao He, Huixiang Zhen, Wenyin GongBlack-Box OptimizationBayesian Optimization

  32. Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule

    Jul 25, 2026Mauricio A. Valle, Gonzalo A. RuzBoltzmann DistributionsModern Deep Networks

  33. Logit-Coordinate Generative Models for Mixed Continuous-Categorical Tabular Data

    Jul 25, 2026Yuefei Shen, Xiaotong ShenMixture ModelsLogit Lens

  34. From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models

    Jul 25, 2026Jinshu Huang, Yiming Jiang, Chunlin WuScore-Based Diffusion ModelGenerative

  35. Beyond ICA: Identifiability by Symmetry Breaking

    Jul 25, 2026Pengzhou WuIdentifiabilityIndependent Component Analysis

  36. All in One: Generative Modeling as Mean-Field Game Design

    Jul 25, 2026Kun Zhao, Xu ChenGenerative Models

  37. Learning to Prepare Molecular Ground States with Transformer Models

    Jul 24, 2026Alex Koziell-Pipe, Jasmine Brewer, Jem Guhit +14Quantum Circuit SimulationN$-Qubit Stabilizer States

  38. Complexity Bounds and Approaches to Learning Projected Gradient Descent Solver Iterates

    Jul 24, 2026Anjian Li, Ryne BeesonGradient DescentNewton

  39. Beyond Perspectives: A Trio-Ethnography of Interpretation Evolution in LLM-Supported Programming Education

    Jul 24, 2026Jennie Ren, Jordan H. McDowell, Kyrie Zhixuan ZhouArtificial Intelligence LiteracyAdaptive Testing

  40. Teachy Mini: Development and Preliminary Evaluation of a Knowledge-Based Generative Social Robot for Higher Education

    Jul 24, 2026Stephan Vonschallen, Karim Kaufmann, Dominique Oberle +2TutorsEducation

  41. TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex

    Jul 24, 2026Yuliang Yan, Shuo Yan, Haochun Tang +2Structure-Based Drug DesignMolecular Generation

  42. DWT-Fusion: A Signal-Based Framework for Training-Free LLM-Generated Text Detection

    Jul 24, 2026Mehmet Batuhan Özdaş, Murat OsmanoğluMachine-Generated Text DetectionGenerative Framework

  43. Context-weighted Discrete Flow Matching

    Jul 23, 2026Daniil Cherniavskii, Daniel Severo, Karen UllrichGenerative Flow NetworksGenerative Models

  44. Persistent Computational State: A Session-Centric Runtime for Generative World Models

    Jul 23, 2026Zhen LinPersistent StateVideo World Models

  45. Physics-Informed Deep Learning Model for Cross-Modality Super-Resolution in Fluorescence Microscopy

    Jul 23, 2026Mohammad Soltaninezhad, Elena Corbetta, Francisco Paez Larios +4Image-To-Image TranslationMicroscopy

  46. PrefReward: Learning User Preference Matrix for Personalized Text Generation

    Jul 23, 2026Yue Wu, Chengbing Wang, Yimeng Bai +3PersonalizationText Generation

  47. Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning

    Jul 23, 2026Yi Xiong, Yuan-Yuan Cheng, Xiao-Ming FuDiscrete Diffusion ModelGenerative

  48. Can an AI System Be Creative? A Critical Perspective from Art and Engineering

    Jul 22, 2026Ivan Magrin-ChagnolleauCreativityArtificial Intelligence Systems

  49. Generative and multimodal AI for materials prediction and design: Progress, challenges, and perspectives

    Jul 22, 2026Xianyuan Liu, Charles Anjah, Benjamin E. Jolly +9Data-Driven Materials DiscoveryMaterials Science

  50. Back to Back with a Copy: A Computational Analysis of AI-Generated Visual Contemporary Art Pastiches

    Jul 22, 2026Anca Dinu, Andreiana Mihail, Andra-Maria Florescu +2Stylistic FidelityGenerative Artificial Intelligence

  51. Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement

    Jul 22, 2026Matei Moldoveanu, Alain Sirois, Claire Ben Ali +2Motor ImageryElectroencephalography Spatial Super-Resolution

  52. STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching

    Jul 22, 2026Hao Wang, Haoran Geng, Xiaotong Yang +7Stereo MatchingHierarchical Flow Matching

  53. Symbol and Footprint Database for Electronic Components by Agentic Recognition and Generation

    Jul 22, 2026Yichen Shi, Yuzhi Liu, Zhuofu Tao +4Symbol-Computer-Aided Design

  54. Agent-Centric Animal Pose Forecasting

    Jul 21, 2026Eyrun Eyjolfsdottir, Kristin BransonEgocentric VisionAutoregressive Model

  55. Hybrid LLM-Guided Search for Quantum Reservoir Architecture Design

    Jul 21, 2026Krishna Bhatia, Gautami Sanjay NaikReservoir ComputingQuantum Machine Learning

  56. ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling

    Jul 21, 2026Chirag Vashist, Ke LiGenerative ModelsGenerative Adversarial Network

  57. Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards

    Jul 21, 2026Xuefeng Jin, Jiashuo Zhang, Teng Cao +1Automated Essay ScoringRubric-Based Reinforcement Learning

  58. Incomplete Observations Boost Evolutionary Performance in Ocean Modeling

    Jul 21, 2026Yangyang Kong, Yutong Jiang, Yanhai Gan +3Data AssimilationState Space Models

  59. GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks

    Jul 21, 2026Daniele Angioletti, Marco Nobile, Vittorio LimongelliGraph Neural NetworksPhysics-Guided Deep Learning Framework

  60. Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing

    Jul 21, 2026Xinjie Zhang, Peng Zhang, Shicheng Zheng +21Image GenerationMultimodal Diffusion Transformers