| 1 | RADIOlogy: A Single-Pass Approach to Training-Free Zero-Shot Anomaly Detection | Joaquín Figueira, Giacomo D'Amicantonio, Egor Bondarau | cs.CV | 2026-10-29 |
| 2 | VeriCUA: Verification as Agentic Exploration for Computer-Using Agents | Qiushi Sun, Da Yu, Alexander Knop +5 | cs.AI | 2026-10-29 |
| 3 | Gym-Anything for Robotics: Scaling physical simulations with digital agents | Pranjal Aggarwal, Sean Welleck | cs.RO | 2026-10-29 |
| #4 | BURGER: Benchmarking and Understanding Robotic Generalization via Embodied Drawing | Xiangyu Xu, Bangshuai Peng, Ziyi Liu +5 | cs.RO | 2026-10-29 |
| #5 | HiFOR: Hierarchical Foresight with Action-Guided World Grounding for Vision-Language-Action Model | Rongxing Ding, Hongyu Qu, Kehong Wu +4 | cs.CV | 2026-10-29 |
| #6 | Textual Response-Aware Guidance for Zero-Shot Adversarial Robustness of Vision-Language Models | Yubo Cui, Xianchao Guan, Zheng Zhang | cs.CV | 2026-10-29 |
| #7 | TaskFrame: Connecting Task-Level Planning with Frame-Level Control for Game Agents | Guangzhi Wang, Junfu Pu, Yiran Wang +10 | cs.CV | 2026-10-29 |
| #8 | ScienceJudge: Pattern Perturbation Augmentation for Sentence-Level Scientific Claim Verification | Chuhai Cai, Xin Chen, Min Yang +1 | cs.CL | 2026-10-29 |
| #9 | AdMuse: Skill-Guided Creative Advertising Image Generation | Minyan Luo, Yuxin Zhang, Meng Zhao +6 | cs.CV | 2026-10-29 |
| #10 | Greenscapes: Optimized Vegetation Configurations in Cities | Patryk Bartkowiak, Marcin Marlewski, Paweł Wójcik +5 | cs.GR | 2026-10-29 |
| #11 | How Much Should a VLA Trust Its Reasoning? Step-Level Guidance as a Measured Action-Value Function | Dabin Seo, Eunhyek Joa | cs.RO | 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 | M-PFT: Angular Margin for Calibrated Prompt-Tuning of Fine-Tuned Vision-Language Models | Shihab Aaqil Ahamed, Mohamed Ansaff, Nang Khin Myat Lay Phyu +4 | cs.CV | 2026-10-29 |
| #14 | Look at Where You Think: Localization-Head Alignment for Fine-Grained Perception in Thinking VLMs | Yuan Wang, Wei Wu, Hongning Wang | cs.CV | 2026-10-29 |
| #15 | Where Do Vision Language Models Fail at 3D Reasoning? | Khai Le-Duc, Nguyen Kim Hai Bui, An Ngo +11 | cs.CV | 2026-10-29 |
| #16 | Evaluating Cultural Knowledge Editing in Vision-Language Models | Malvina Nikandrou, Georgios Pantazopoulos, Ioannis Konstas +1 | cs.CV | 2026-10-29 |
| #17 | Smooth Action Chunking Via Movement-Primitive Representations for Imitation Learning | Shota Nomura, Takayuki Osa, Yasuhiro Kato +3 | cs.LG | 2026-10-29 |
| #18 | Decoding Geometry, Not Tokens: Efficient VLMs for Robot Affordance and Trajectory Prediction | Akila Ayanthi, Darshana Priyasad, Tharindu Fernando +4 | cs.RO | 2026-10-29 |
| #19 | Telling Is Not Seeing: Textual Personas Rarely Make Vision-Language Models Answer Like the People They Describe | Jiawei Chen | cs.CV | 2026-10-29 |
| #20 | MRC-MMAgent: Reinforcement Learning for Multi-Role Collaboration in Multimodal Tool-Using Agents | Shengqin Wang, Jie Jin, Xiaofan Li +8 | cs.CV | 2026-10-29 |
| #21 | What Does "Now" Mean to Your Computer-Use Agent? Stale Screenshots, Page Loads, and Which Check to Run Before a Click | Vasundra Srinivasan | cs.AI | 2026-10-29 |
| #22 | Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live IOS Apps | Peitong Duan, Khashayar Gatmiry, Jeffrey Nichols +2 | cs.AI | 2026-10-29 |
| #23 | OneScene-Bench: Do Vision-Language Models Integrate Evidence Across Views? | Swathi Suhas, Anurag Das, Bernt Schiele +1 | cs.CV | 2026-10-28 |
| #24 | Contextual Embeddings Beyond the Gold Chunk | Sedigheh Eslami, Markus Krimmel, William Barber +7 | cs.LG | 2026-10-28 |
| #25 | Leaving, Staying, or Living There? Duration Commonsense Reasoning with Human-LLM Co-annotations | Chenyang Yu, Zhaomin Xiao, Yan Huang +1 | cs.AI | 2026-10-28 |
| #26 | inkGround: Benchmarking Fine-grained Visual Grounding Capabilities of Vision-Language Models for Cursive Handwriting in the Wild | Sidra Hanif | cs.CV | 2026-10-28 |
| #27 | V-CAPE: Visual Consistency Assessment for Product Image Editing | Iaroslav Melekhov, Roberto Alcover Couso, Francesco Taioli +4 | cs.CV | 2026-10-28 |
| #28 | SaiVLA-JEPA: Evaluating Future Latent Prediction in JEPA-Conditioned VLA Control | Rufeng Xiao, Ruihao Xiao, Wei Chen +1 | cs.RO | 2026-10-28 |
| #29 | 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 |
| #30 | Visually Irrelevant Hallucinations in Medical Vision-Language Models | Ke Zou, Nan Zhou, Tao Yang +9 | cs.CV | 2026-10-28 |
| #31 | What Should a Navigator Remember? Spatiotemporal Memory for Zero-Shot Vision-Language Navigation | Yuhang Peng, Zhikai Wang, Ziyi Wang +5 | cs.RO | 2026-10-28 |
| #32 | Don't Ask the LLM: Visual Token Pruning with Spectral Structure and Semantic Relevance | Intaek Shin, Geuntaek Lim, Sungjune Park +1 | cs.CV | 2026-10-28 |
| #33 | Embodied at Sea: Imitation Learning for Multi-Task Underwater Manipulation | Greta Perez-Haiek, Luca Macesanu, Kevin Angers +3 | cs.RO | 2026-10-28 |
| #34 | REEL: Same Frames, Different Answers and Different Costs | Xin Liang, Jiangpeng He | cs.CV | 2026-10-28 |
| #35 | Can Event Detectors Leave the Broadcast Camera? Evidence from Tennis | David Soeiro-Vuong, Andre-Louis Rochet | cs.CV | 2026-10-27 |
| #36 | Separability Is Not Alignability: Representations for Spectrum-to-Molecule Retrieval | Karol Musielinski, Fanurs C. E. Teh, Takahiko Koyama +1 | cs.LG | 2026-10-27 |
| #37 | What Actually Matters? A Paired Evaluation of Inference Settings for $π_{0.5}$ on BEHAVIOR-1K | Ruben Hammele, Samira Huber, Mohammad Nazeri +7 | cs.RO | 2026-10-27 |
| #38 | ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning | Chaehyun Kim, Chi-Pin Huang, Jisoo Kim +4 | cs.RO | 2026-10-27 |
| #39 | Perceiving and Predicting Dynamic Sports: Spatiotemporal Intelligence in Vision Models for Egocentric Tennis Video | Tudor Braicu, Joseph DelPreto, Jared Boyer +4 | cs.CV | 2026-10-27 |
| #40 | Gym-Anything-RT: Scaling Real-Time Environments for Vision-Language Agents | Pranjal Aggarwal, Sean Welleck | cs.LG | 2026-10-27 |
| #41 | PDRVLA: A Vision-Language-Action Model with Physical Dynamics Representations | Hanqing Wang, Zhaotian Cai, Ruichuan An +12 | cs.RO | 2026-10-27 |
| #42 | TimeLineXR: An Interactive Exploration of Time in Vision-Language Models | Nidham Tekaya, Markus Passecker, Matthias Zeppelzauer | cs.CV | 2026-10-27 |
| #43 | Vision-Language-Action or World-Action? Just Action Models | Yonghao Yu, Lang Huang, Runyi Li +1 | cs.CV | 2026-10-27 |
| #44 | Retrieve to Act: Motion Primitive Graph Retrieval for Robust VLA Execution | Pham Tri Quang, Bao-Ngoc Dao, Minh Duc Nguyen +15 | cs.RO | 2026-10-27 |
| #45 | SplatScout: Query-Driven Part-Level Referring Segmentation in Gaussian Scenes | Yihan Zang, Da Li, Shinkyu Park +2 | cs.CV | 2026-10-27 |
| #46 | Learning to Look Beyond Screens: Transferable Visual Observation from GUI Grounding | Ruilin Yao, Xinyu Qiu, Tianyu Zou +4 | cs.CV | 2026-10-27 |
| #47 | V-LUMEN: Visual Lookup Memory for Embedding Scaling in Vision-Language Models | Miso Choi, Daekeun Kim, Eunji Kim +1 | cs.LG | 2026-10-27 |
| #48 | LearnPrunerV2: Learnable Progressive Token Pruning for Vision-Language Models | Rinyoichi Takezoe, Yaqian Li, Weiren Wang +6 | cs.CV | 2026-10-27 |
| #49 | Explicit Regional Representations For Video Quality Assessment | Fuyi Yang, Lei Yang, Andrew Liu +3 | cs.CV | 2026-10-27 |
| #50 | Vision-Language Agents Can Learn in Their Own Latent Worlds | Haoxi Li, Sikai Bai, Jianfei Ma +5 | cs.AI | 2026-10-27 |