Generative Modeling

ICLR 2025arXiv:2402.09906

#2

Generative Verifiers: Reward Modeling as Next-Token Prediction

Lunjun Zhang, Arian Hosseini, Hritik Bansal et al.

Generative Representational Instruction Tuning

Niklas Muennighoff, Hongjin SU, Liang Wang et al.

instruction tuningtext embeddinggenerative tasksretrieval-augmented generation+3

212

ICLR 2024arXiv:2310.01361

#4

GenSim: Generating Robotic Simulation Tasks via Large Language Models

Lirui Wang, Yiyang Ling, Zhecheng Yuan et al.

120

CVPR 2024arXiv:2309.07906

#5

Generative Image Dynamics

Zhengqi Li, Richard Tucker, Noah Snavely et al.

93

ECCV 2024arXiv:2312.02116

#6

GIVT: Generative Infinite-Vocabulary Transformers

Michael Tschannen, Cian Eastwood, Fabian Mentzer

generative transformersvector sequence generationmultivariate gaussian mixture modelslatent diffusion models+4

63

ICLR 2024arXiv:2309.16779

#7

Intriguing Properties of Generative Classifiers

Priyank Jaini, Kevin Clark, Robert Geirhos

51

ICLR 2025arXiv:2403.14404

#8

Physics-Informed Diffusion Models

Jan-Hendrik Bastek, WaiChing Sun, Dennis Kochmann

diffusion modelsphysics-informed learningpartial differential equationsgenerative modeling+4

50

ICLR 2024arXiv:2306.01776

#9

From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

Marten Lienen, David Lüdke, Jan Hansen-Palmus et al.

49

ICLR 2025arXiv:2410.21357

#10

Energy-Based Diffusion Language Models for Text Generation

Minkai Xu, Tomas Geffner, Karsten Kreis et al.

48

ICCV 2025arXiv:2412.18607

#11

DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Yuntao Chen, Yuqi Wang, Zhaoxiang Zhang

44

ICLR 2025arXiv:2410.20587

#12

Generator Matching: Generative modeling with arbitrary Markov processes

Peter Holderrieth, Marton Havasi, Jason Yim et al.

generative modelingmarkov processesdiffusion modelsflow matching+4

40

CVPR 2024arXiv:2403.13304

#13

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception

Yibo Wang, Ruiyuan Gao, Kai Chen et al.

39

ICLR 2024arXiv:2309.15564

#14

Jointly Training Large Autoregressive Multimodal Models

Emanuele Aiello, Lili Yu, Yixin Nie et al.

32

ICLR 2024arXiv:2312.11529

#15

Efficient and Scalable Graph Generation through Iterative Local Expansion

Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin et al.

26

CVPR 2024arXiv:2312.01409

#16

Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models

Shengqu Cai, Duygu Ceylan, Matheus Gadelha et al.

26

CVPR 2024arXiv:2404.03242

#17

JetFormer: An autoregressive generative model of raw images and text

Michael Tschannen, André Susano Pinto, Alexander Kolesnikov

Would Deep Generative Models Amplify Bias in Future Models?

Tianwei Chen, Yusuke Hirota, Mayu Otani et al.

23

ICLR 2025arXiv:2406.18966

#19

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Yue Huang, Siyuan Wu, Chujie Gao et al.

synthetic data generationlarge language modelsretrieval-augmented generationlabel verification+4

21

ICCV 2025arXiv:2503.10696

#20

Generative Video Propagation

Shaoteng Liu, Tianyu Wang, Jui-Hsien Wang et al.

On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity

Quentin Bertrand, Anne Gagneux, Mathurin Massias et al.

Neighboring Autoregressive Modeling for Efficient Visual Generation

Yefei He, Yuanyu He, Shaoxuan He et al.

16

ICLR 2024arXiv:2310.03695

#23

Boosting Generative Image Modeling via Joint Image-Feature Synthesis

Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou et al.

Multimarginal Generative Modeling with Stochastic Interpolants

Michael Albergo, Nicholas Boffi, Michael Lindsey et al.

15

autoregressive 3d generationpart-based generation3d part discoverycompositional 3d reconstruction+3

#25

AutoPartGen: Autoregressive 3D Part Generation and Discovery

Minghao Chen, Jianyuan Wang, Roman Shapovalov et al.

NeurIPS 2025

14

ICLR 2025arXiv:2410.01720

#26

MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models

Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal Patel

Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective

Zeyu Gan, Yong Liu

synthetic data generationlarge language modelspost-training optimizationgeneralization capability+3

13

ICLR 2025arXiv:2512.25034

#28

Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution

Fengyuan Liu, Haochen Luo, Yiming Li et al.

Generative Classifiers Avoid Shortcut Solutions

Alexander Li, Ananya Kumar, Deepak Pathak

12

ICCV 2025arXiv:2503.10406

#30

RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models

Yijing Lin, Mengqi Huang, Shuhan Zhuang et al.

temporal in-context learningconditional frame predictionunified visual generationvideo models+4

12

ICML 2025arXiv:2503.01103

#31

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator

Kaiwen Zheng, Yongxin Chen, Huayu Chen et al.

12

AAAI 2025arXiv:2409.12106

#32

Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models

Haoran Ye, Yuhang Xie, Yuanyi Ren et al.

10

ICCV 2025arXiv:2503.19480

#33

GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers

Shijie Ma, Yuying Ge, Teng Wang et al.

9

ICML 2025arXiv:2501.01073

#34

Graph Generative Pre-trained Transformer

Xiaohui Chen, Yinkai Wang, JIAXING HE et al.

9

NeurIPS 2025arXiv:2504.10612

#35

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling

Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin et al.

energy-based modelsflow matchinggenerative modelingoptimal transport paths+4

8

NeurIPS 2025arXiv:2505.21996

#36

Learning World Models for Interactive Video Generation

Taiye Chen, Xun Hu, Zihan Ding et al.

8

ICLR 2025arXiv:2411.07180

#37

Gumbel Counterfactual Generation From Language Models

Shauli Ravfogel, Anej Svete, Vésteinn Snæbjarnarson et al.

8

ICLR 2025arXiv:2406.04619

#38

CTSyn: A Foundation Model for Cross Tabular Data Generation

Xiaofeng Lin, Chenheng Xu, Matthew Yang et al.

tabular data generationcross-table learningdiffusion-based generative modelheterogeneous feature decoding+4

7

ICLR 2025arXiv:2405.17035

#39

Glauber Generative Model: Discrete Diffusion Models via Binary Classification

Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam

7

CVPR 2025arXiv:2503.13110

#40

DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry

Jing Li, Yihang Fu, Falai Chen

7

CVPR 2025arXiv:2503.14945

#41

Generating Multimodal Driving Scenes via Next-Scene Prediction

Yanhao Wu, Haoyang Zhang, Tianwei Lin et al.

multimodal generation frameworkautonomous driving scenesnext-scene predictiontemporal autoregressive modeling+4

6

AAAI 2025arXiv:2502.01107

#42

Braess’s Paradox of Generative AI

Boaz Taitler, Omer Ben-Porat

GTG: Generalizable Trajectory Generation Model for Urban Mobility

Jingyuan Wang, Yujing Lin, Yudong Li

AAAI 2025arXiv:2502.20371

#44

Constrained Generative Modeling with Manually Bridged Diffusion Models

Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg et al.

ICLR 2024arXiv:2305.19337

#45

Interpretable Generative Models through Post-hoc Concept Bottlenecks

Akshay R. Kulkarni, Ge Yan, Chung-En Sun et al.

HiGen: Hierarchical Graph Generative Networks

Mahdi Karami

ICLR 2025arXiv:2410.01660

#47

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering

Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach

conformal predictiongenerative modelingsample efficiencysequential prediction+4

NeurIPS 2025arXiv:2501.03937

#48

On Union-Closedness of Language Generation

Steve Hanneke, Amin Karbasi, Anay Mehrotra et al.

A solvable model of learning generative diffusion: theory and insights

Hugo Cui, Cengiz Pehlevan, Yue Lu

CVPR 2025arXiv:2412.11767

#50

Forte : Finding Outliers with Representation Typicality Estimation

Debargha Ganguly, Warren Morningstar, Andrew Yu et al.

IDEA-Bench: How Far are Generative Models from Professional Designing?

Chen Liang, Lianghua Huang, Jingwu Fang et al.

real-world design tasksmultimodal large language modelsprofessional design scenariosgeneral-purpose generation capabilities+4

CVPR 2025arXiv:2412.07767

#52

Learning Visual Generative Priors without Text

Shuailei Ma, Kecheng Zheng, Ying Wei et al.

visual generative priorstext-to-image modelsimage-to-image generationcross-modality alignment+3

ICCV 2025arXiv:2412.08101

#53

Generative Zoo

Tomasz Niewiadomski, Anastasios Yiannakidis, Hanz Cuevas Velasquez et al.

3d animal poseshape estimationsynthetic data generationconditional image generation+3

ECCV 2024arXiv:2409.19862

#54

Learning Multimodal Latent Generative Models with Energy-Based Prior

Shiyu Yuan, Jiali Cui, Hanao Li et al.

AAAI 2025arXiv:2403.18198

#55

Generative Medical Segmentation

Jiayu Huo, Xi Ouyang, Sébastien Ourselin et al.

ICLR 2025arXiv:2410.06716

#56

Guaranteed Generation from Large Language Models

Minbeom Kim, Thibaut Thonet, Jos Rozen et al.

ICML 2025arXiv:2502.00921

#57

A General Theoretical Framework for Learning Smallest Interpretable Models

Sebastian Ordyniak, Giacomo Paesani, Mateusz Banany et al.

Blink of an eye: a simple theory for feature localization in generative models

Marvin Li, Aayush Karan, Sitan Chen

ICML 2025arXiv:2411.14003

#59

Generative Intervention Models for Causal Perturbation Modeling

Nora Schneider, Lars Lorch, Niki Kilbertus et al.

ICML 2025arXiv:2412.10208

#60

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

Jaehyeon Kim, Taehong Moon, Keon Lee et al.

NeurIPS 2025arXiv:2502.00879

#61

Believing is Seeing: Unobserved Object Detection using Generative Models

Subhransu S. Bhattacharjee, Dylan Campbell, Rahul Shome

GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning

Guangyan Chen, Te Cui, Meiling Wang et al.

Generating Computational Cognitive models using Large Language Models

Milena Rmus, Akshay Kumar Jagadish, Marvin Mathony et al.

computational cognitive modelslarge language modelscognitive model generationbehavioral data fitting+4

AAAI 2025arXiv:2405.17191

#64

No Free Lunch: Fundamental Limits of Learning Non-Hallucinating Generative Models

Changlong Wu, Ananth Grama, Wojciech Szpankowski

MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

Baoren Xiao, Hao Ni, Weixin Yang

AAAI 2025arXiv:2501.00868

#66

Large Language Models Are Read/Write Policy-Makers for Simultaneous Generation

Shoutao Guo, Shaolei Zhang, Zhengrui Ma et al.

ICML 2025arXiv:2502.14583

#67

Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling

Fei Ye, Adrian G. Bors, Kun Zhang

A Theory for Conditional Generative Modeling on Multiple Data Sources

Rongzhen Wang, Yan Zhang, Chenyu Zheng et al.

2

NeurIPS 2025arXiv:2503.17482

#69

What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models

Keyon Vafa, Sarah Bentley, Jon Kleinberg et al.

2

graph generative modelslarge-scale training paradigmzero-shot generative capabilitytext-to-graph generation+3

#70

A Large-scale Training Paradigm for Graph Generative Models

Yu Wang, Ryan Rossi, Namyong Park et al.

ICLR 2025

1

ICCV 2025arXiv:2506.16827

#71

Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation

Kangfu Mei, Mo Zhou, Vishal Patel

PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?

Martin Spitznagel, Jan Vaillant, Janis Keuper

Beyond Blur: A Fluid Perspective on Generative Diffusion Models

Grzegorz Gruszczynski, Jakub Meixner, Michał Włodarczyk et al.

1

ICML 2025arXiv:2505.21780

#74

Symbolic Representation for Any-to-Any Generative Tasks

Jiaqi Chen, Xiaoye Zhu, Yue Wang et al.

Compositional Scene Understanding through Inverse Generative Modeling

Yanbo Wang, Justin Dauwels, Yilun Du

1

ICML 2025arXiv:2410.16713

#76

A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality

Huan He, Yijie Hao, Yuanzhe Xi et al.

Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series

Zachary Brown, David Carlson

GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules

Zhenfang Chen, Rui Sun, Wenjun Liu et al.

Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World

Joshua Kazdan, Rylan Schaeffer, Apratim Dey et al.

CVPR 2024arXiv:2402.19470

#80

Towards Generalizable Tumor Synthesis

Qi Chen, Xiaoxi Chen, Haorui Song et al.

ICML 2025arXiv:2502.00382

#81

Branch-GAN: Improving Text Generation with (not so) Large Language Models

Fredrik Carlsson, Johan Broberg, Erik Hillbom et al.

Masked Generative Nested Transformers with Decode Time Scaling

Sahil Goyal, Debapriya Tula, Gagan Jain et al.

self-consuming generative modelsdiffusion modelsneural network score functiontotal variation distance+4

#83

Towards Theoretical Understandings of Self-Consuming Generative Models

Shi Fu, Sen Zhang, Yingjie Wang et al.

ICML 2024

ICML 2025arXiv:2505.03561

#84

Ergodic Generative Flows

Leo Brunswic, Mateo Clémente, Rui Heng Yang et al.

ICML 2024arXiv:2310.12920

#85

Generative Marginalization Models

Sulin Liu, Peter Ramadge, Ryan P. Adams

marginalization modelshigh-dimensional discrete dataenergy-based trainingmarginal probabilities inference+3

ICLR 2024arXiv:2305.14651

#86

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models

Lingbing Guo, Zhuo Chen, Jiaoyan Chen et al.