| 2025 | Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? | Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert |
| 2025 | Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory. | Nikola Zubic, Federico Sold, Aurelio L. Sulser, Davide Scaramuzza |
| 2025 | Robust Transfer of Safety-Constrained Reinforcement Learning Agents. | Markel Zubia, Thiago D. Simo, Nils Jansen |
| 2025 | 3D-Spatial Multimodal Memory. | Xueyan Zou, Yuchen Song, Ri-Zhao Qiu, Xuanbin Peng, Jianglong Ye, Sifei Liu, Xiaolong Wang |
| 2025 | Cached Multi-Lora Composition for Multi-Concept Image Generation. | Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis, Yiren Zhao |
| 2025 | Accelerating Diffusion Transformers with Token-wise Feature Caching. | Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang |
| 2025 | DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models. | Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang |
| 2025 | Optimality of Matrix Mechanism on ℓpp-metric. | Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay |
| 2025 | VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning. | Yongshuo Zong, Ondrej Bohdal, Timothy M. Hospedales |
| 2025 | PersonalLLM: Tailoring LLMs to Individual Preferences. | Thomas P. Zollo, Andrew Wei Tung Siah, Naimeng Ye, Ang Li, Hongseok Namkoong |
| 2025 | Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision. | Orr Zohar, Xiaohan Wang, Yonatan Bitton, Idan Szpektor, Serena Yeung-Levy |
| 2025 | Diffusion State-Guided Projected Gradient for Inverse Problems. | Rayhan Zirvi, Bahareh Tolooshams, Anima Anandkumar |
| 2025 | Mixture of Attentions For Speculative Decoding. | Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang |
| 2025 | Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation. | Itamar Zimerman, Ameen Ali, Lior Wolf |
| 2025 | Repulsive Latent Score Distillation for Solving Inverse Problems. | Nicolas Zilberstein, Morteza Mardani, Santiago Segarra |
| 2025 | Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images. | Sichen Zhu, Yuchen Zhu, Molei Tao, Peng Qiu |
| 2025 | Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information. | Yuke Zhu, Yue Zhang, Dongdong Liu, Chi Xie, Zihua Xiong, Bo Zheng, Sheng Guo |
| 2025 | SPA: 3D Spatial-Awareness Enables Effective Embodied Representation. | Haoyi Zhu, Honghui Yang, Yating Wang, Jiange Yang, Limin Wang, Tong He |
| 2025 | Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice. | Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths |
| 2025 | DSPO: Direct Score Preference Optimization for Diffusion Model Alignment. | Huaisheng Zhu, Teng Xiao, Vasant G. Honavar |
| 2025 | Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models. | Lin Zhu, Xinbing Wang, Chenghu Zhou, Qinying Gu, Nanyang Ye |
| 2025 | Personality Alignment of Large Language Models. | Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang |
| 2025 | JudgeLM: Fine-tuned Large Language Models are Scalable Judges. | Lianghui Zhu, Xinggang Wang, Xinlong Wang |
| 2025 | Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies. | Lingwei Zhu, Han Wang, Yukie Nagai |
| 2025 | InstaRevive: One-Step Image Enhancement via Dynamic Score Matching. | Yixuan Zhu, Haolin Wang, Ao Li, Wenliang Zhao, Yansong Tang, Jingxuan Niu, Lei Chen, Jie Zhou, Jiwen Lu |