| 2026 | Bi-VLM: Binary Post-Training Quantization for Vision-Language Models. | Xijun Wang, Rayyan Abdalla, Junyun Huang, Chengyuan Zhang, Ruiqi Xian, Dinesh Manocha |
| 2026 | ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM. | Yujun Wang, Aniri, Jinhe Bi, Sren Pirk, Yunpu Ma |
| 2026 | LatentVLA: Taming Latent Space for Generalizable and Long-Horizon Bimanual Manipulation. | Junming Wang |
| 2026 | Trustworthy AI-Assisted Programming: Detection and Repair of Unreliable Code. | Jian Wang |
| 2026 | Improve Molecular Conformation Modeling with Geometric Deep Learning. | Fanmeng Wang |
| 2026 | From Few-Shot Learning to Data-Efficient Intelligence. | Yaqing Wang |
| 2026 | KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare. | Kai Wang |
| 2026 | Perceptual Quality Assessment of 3D Gaussian Splatting: A Subjective Dataset and Prediction Metric. | Zhaolin Wan, Yining Diao, Jingqi Xu, Hao Wang, Zhiyang Li, Xiaopeng Fan, Wangmeng Zuo, Debin Zhao |
| 2026 | FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence. | Guoan Wan, Tianyu Chen, Fangzheng Feng, Haoyi Zhou, Runhua Xu |
| 2026 | Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach. | Nassim Walha, Sebastian G. Gruber, Thomas Decker, Yinchong Yang, Alireza Javanmardi, Eyke Hllermeier, Florian Buettner |
| 2026 | Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks. | Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde, Sumedh B. G, Sonia Gupta, Srikanta Bedathur |
| 2026 | A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction. | Akshay Vyas, Angelo Pimienta, Nicholas Ruozzi |
| 2026 | Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning. | Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis |
| 2026 | MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models. | Hoang Tran Vuong, Tue Le, Quyen Tran, Linh Ngo Van, Trung Le |
| 2026 | Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion. | Evgeniia Vu, Andrei Boiarov, Dmitry P. Vetrov |
| 2026 | Certified but Fooled! Breaking Certified Defenses with Ghost Certificates. | Viet Quoc Vo, Tashreque Mohammed Haq, Paul Montague, Tamas Abraham, Ehsan Abbasnejad, Damith C. Ranasinghe |
| 2026 | Generating Streamlining Constraints with Large Language Models (Abstract Reprint). | Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2026 | Hybrid Restricted Master Problem for Boolean Matrix Factorisation. | Ellen Visscher, Michael Forbes, Christopher Yau |
| 2026 | Probabilistic Safety Verification of Neural Policies via Predicate Abstraction. | Marcel Vinzent, Holger Hermanns, Jrg Hoffmann |
| 2026 | LLM-Based Agent for Competitive Landscape Mapping in Drug Asset Due Diligence. | Vlad Vinogradov, Alisa Vinogradova, Dmitrii Radkevich, Ilya Yasny, Dmitry Kobyzev, Ivan Izmailov, Katsiaryna Yanchanka, Andrey Doronichev |
| 2026 | A Knowledge Compilation Map for Quantum Information. | Lieuwe Vinkhuijzen, Tim Coopmans, Alfons Laarman |
| 2026 | BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models. | Catherine Villeneuve, Benjamin Akera, Mlisande Teng, David Rolnick |
| 2026 | A Tale of Two Identities: An Ethical Audit of AI-Crafted Synthetic Personas. | Pranav Narayanan Venkit, Jiayi Li, Yingfan Zhou, Sarah Rajtmajer, Shomir Wilson |
| 2026 | Learning Through Concepts: Hierarchies, Logic and Reasoning. | Deepika Vemuri |
| 2026 | Assessing the Risk of Falls in Older Adults Living in the Community Using Machine Learning Models with Imputation (Student Abstract). | Atul Teja Vellampalli, Yugan Kumar, Kai Zhe Tan, Kok Yang Tan, Vanessa Koh, Rahul Malhotra, Angelique W. M. Chan, David Bruce Matchar, Navrag B. Singh, Sai Ganesh Sarvotham Pai |