| 1 | Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers | Jiongfan Yang, Weichen Fan, Haiwen Diao +2 | cs.CV | 2026-10-29 |
| 2 | LucidLyra: Feed-Forward Generative 3D Scene Reconstruction and Joint Understanding via Multi-Task Distillation | Oliver Hahn, Rodrigo Marcuzzi, Sangeetha Grama Srinivasan +7 | cs.CV | 2026-10-29 |
| 3 | Learning developmental dynamics from lineage context | Gokul Gowri, Nic Fishman, William N. Colgan +10 | q-bio.QM | 2026-10-29 |
| #4 | Framework-Conditional Open Materials Generation | Maya M. Martirossyan, Hillary Pan, Philipp Höllmer +1 | cs.LG | 2026-10-29 |
| #5 | Composing and Steering Diffusion Models with Generalized Feynman-Kac Correctors | Wael Mattar, Daniel Freedman | cs.LG | 2026-10-29 |
| #6 | Decision and System One models in rheumatology: accuracy and calibration on specialty-training examination questions and diagnostic case vignettes | Alfredo Madrid-García, Diego Benavent, Fabian Lechner +3 | cs.CL | 2026-10-29 |
| #7 | The generative paradox: the Anti-Prompt paradigm for human capability | Margarita Trifonov Vadim E. Levit | cs.AI | 2026-10-29 |
| #8 | SynthFaces: Balanced Large Scale Human Dataset | Sergey Karpukhin, Denis Bobkov, Kirill Morozov +1 | cs.CV | 2026-10-29 |
| #9 | Localizing Concepts in Visual Autoregressive Models | Nanxiang Jiang, Yang Liu, Yuanhao Wang +1 | cs.CV | 2026-10-29 |
| #10 | EPC-RawDC: Equivariant Physics Constrained 3D Diffusion with Raw Data Consistency for CBCT to CT Image Synthesis | Alzahra Altalib, Chunhui Li, Alessandro Perelli | cs.CV | 2026-10-29 |
| #11 | MLLM-GS: Multimodal Large Language Model Prior-Guided Fast Novel View Synthesis in Extreme Environments | Zhiliang Wu, Xinye Zheng, Kun Li +7 | cs.CV | 2026-10-29 |
| #12 | PhysAg3D: Bridging 3D Generative and Agentic Models for High-Fidelity and Physically-Interactive Assets | Bi'an Du, Fanpeng Meng, Jiemin Fang +5 | cs.CV | 2026-10-29 |
| #13 | TokenRepel: Generating Diverse Image Sets Without Compromising Quality | Qingtao Yu, Zhen Wang, Ning Lai +3 | cs.CV | 2026-10-29 |
| #14 | TACFormer: Transformer-Based Generative Model for Target-Conditioned De Novo PROTAC Design | Yossra Gharbi, Rocío Mercado | cs.LG | 2026-10-29 |
| #15 | AegisFlow: Training-Free Non-Myopic Path-Safe Guided Flow Matching | Kunpeng Liu, Boshi Zhang, Keyou You | cs.AI | 2026-10-29 |
| #16 | Multi-output LSTM soft sensors for industrial anaerobic co-digestion using LSTM-beta-VAE generative data augmentation | Rohit Murali, Benaissa Dekhici, Tao Chen +2 | cs.LG | 2026-10-29 |
| #17 | DiFuse: Fusing Native Diffusion Representations for Spatial Reasoning in Unified Multimodal Models | Ruixin Fan, Weining Wang, Jiahui Sun +2 | cs.CV | 2026-10-29 |
| #18 | Generative artificial intelligence prompting strategies among Chinese university students across academic tasks | Lei Fan, Fangxue Liu | cs.HC | 2026-10-29 |
| #19 | DEG: Diffusion-Enhanced GFlowNet for Solving Vehicle Routing Problems | Ni Zhang, Zhiqin Zhang, Ling Pan +2 | cs.AI | 2026-10-29 |
| #20 | FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss | Hina Otake, Shinei Arakawa, Keitaro Tanaka +3 | cs.CV | 2026-10-29 |
| #21 | WorldFlow: Joint Video and 3D Motion Prediction via Large-Scale Pretraining | Yuhao Lu, Jiongxu Chen, Hexiang Wei +9 | cs.CV | 2026-10-29 |
| #22 | Efficient Covariance-Aware Vicinal Latent Diffusion for Continuous Conditional Image Generation | Xin Ding, Shuo Huang, Zhenglong Ding +5 | cs.CV | 2026-10-29 |
| #23 | Uncertainty-Guided Cross-Modal Alignment for Diffusion-Based IoT Intrusion Detection | Mahdi Arab Loodaricheh, Anita Raja, Mohammad Hossein Manshaei | cs.LG | 2026-10-29 |
| #24 | From Local Recovery to Unified Generation: Discovering Triple Set in Knowledge Graphs via Observation-Anchored Latent Diffusion | Jiaqi Wang, Yisen Gao, Huayang Shi +7 | cs.LG | 2026-10-29 |
| #25 | PALATE: Pretrained Autoregressive LATent Embeddings | Sizhang Zhao, Praveen Gondhi, Bin Li +1 | cs.IR | 2026-10-29 |
| #26 | The Search for Statistical Indistinguishability Between Real and Fake Images | Mohaimin Rafi, Otavio Moraes Rosa, Anshuman Chhabra +1 | cs.CV | 2026-10-28 |
| #27 | Rethinking GFlowNet Training: Negative Reinforce Dynamics | Pedro Dall'Antonia, Daniel Csillag, Diego Mesquita | cs.LG | 2026-10-28 |
| #28 | Geometric Time Score Estimators: Bridging Self-Predictive Representations and Generative Occupancy Models For Reinforcement Learning | Aravind Venugopal, Grace Liu, Jeff Schneider +1 | cs.LG | 2026-10-28 |
| #29 | Discovery of Diverse and Realistic Financial Tail-Risk Using Generative Flow Networks | Adir Serruya, Gilad Katz | cs.LG | 2026-10-28 |
| #30 | What to randomize matters: a controlled study of volume, axis and representation in low-data molecular generation | Neerav Kaushal, Alisa Teige, Ajay MNV Penmatsa | cs.LG | 2026-10-28 |
| #31 | Evaluating Visual Realism of AI-Generated Videos with Eye Tracking | Danqing Shi, Lan Jiang, Jake Lyons +1 | cs.HC | 2026-10-28 |
| #32 | Logical Guidance of Stochastic Interpolants | Gerrit Gerhartz, Francesco Alesiani, Jonathan Warrell +3 | cs.LG | 2026-10-28 |
| #33 | When AI performs, what remains? An integrative review of generative AI and cognitive capital in individuals and organizations | Giuseppe Riva, Stefania La Rocca, Brenda K. Wiederhold +1 | cs.HC | 2026-10-28 |
| #34 | V-CAPE: Visual Consistency Assessment for Product Image Editing | Iaroslav Melekhov, Roberto Alcover Couso, Francesco Taioli +4 | cs.CV | 2026-10-28 |
| #35 | Rethinking LLM Jailbreak Evaluation: Continuous Risk Landscapes Beyond Binary Outcomes | Yukai Zhou, Wenjie Wang | cs.LG | 2026-10-28 |
| #36 | Detecting Fine-Grained Differences between Image Datasets | Leander Girrbach, Alexander von Recum, Kirill Bykov +1 | cs.CV | 2026-10-28 |
| #37 | AtomSteer: Test-Time Constraint Steering for Atomistic Generative Models | Pengfei Cai, Katharina S. C. Jäger, Utkarsh Utkarsh +4 | cs.LG | 2026-10-28 |
| #38 | Automatic Iconographic Annotation of Medieval Illuminations: Comparing Generative Vision-Language Models and Supervised Discriminative Classifiers | Vincent Jolivet, Lucas Terriel, Chahan Vidal-Gor{è}ne | cs.CV | 2026-10-28 |
| #39 | Benchmarking decision models against generative large language models on medical multiple-choice questions | Oscar Freyer, Daniel Glauert, Moritz Hofmann +3 | cs.CL | 2026-10-28 |
| #40 | Towards Reliable, Scalable, and Value-Aligned Generative Recommendation for Large-Scale Advertising | Yatong Xiao, Yibo Sheng, Lixiang Wang +7 | cs.IR | 2026-10-28 |
| #41 | NAGO: Noise-Aware Generative Operator via Flow Matching | Guanyu Chen, Shengze Xu, Pengwei Liu +5 | cs.LG | 2026-10-28 |
| #42 | A Tutorial on Generative Models for Music Audio | Mateusz Modrzejewski, Joanna Kurkowska, Dorien Herremans | eess.AS | 2026-10-28 |
| #43 | Two Birds with One Stone: Skill-Augmented Generation via Unified Retrieval and Utilization | Zihan Luo, Jiahui Kang, Wei Zhou +3 | cs.CL | 2026-10-28 |
| #44 | Estimating Implicit Expected Log Density Ratios | Avi Amalanshu, Chandler Squires, Yizhou Lu +1 | cs.LG | 2026-10-28 |
| #45 | Decompose, Don't Expand: Capability-Independent AI Systems by Construction | Tejaswi Gowda | cs.AI | 2026-10-28 |
| #46 | MiniMMD: Minimization of MMD for Sampling, Inference and Integration | Zonghao Chen | stat.ML | 2026-10-28 |
| #47 | Beauty Is Human: When People Love AI-Generated Art, They Think a Human Made It | Zihan Chen, Di Zhu, Lei Nico Zheng | cs.HC | 2026-10-28 |
| #48 | From the Gettier Machine to Justified True Output: A Three-Step Account of Rational Trust in Generative AI | Tevfik Uyar | cs.CY | 2026-10-28 |
| #49 | Predicting What Answer Engines Cite: Open Decision Models, Rerankers and a Distilled 4B Student on Ten Engines under Controlled Retrieval | Elisha Bajemon, Andre-Louis Rochet | cs.IR | 2026-10-28 |
| #50 | What Can Firms Do in the Face of Model Distillation? | Diptangshu Sen, Jibang Wu, Juba Ziani | cs.GT | 2026-10-28 |