| 2025 | PokChamp: an Expert-level Minimax Language Agent. | Seth Karten, Andy Luu Nguyen, Chi Jin |
| 2025 | Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent. | Santhosh Karnik, Anna Veselovska, Mark A. Iwen, Felix Krahmer |
| 2025 | Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms. | Rickard Karlsson, Jesse H. Krijthe |
| 2025 | Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models. | Rafal Karczewski, Markus Heinonen, Vikas K. Garg |
| 2025 | The Power of Random Features and the Limits of Distribution-Free Gradient Descent. | Ari Karchmer, Eran Malach |
| 2025 | POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization. | Batuhan K. Karaman, Ishmam Zabir, Alon Benhaim, Vishrav Chaudhary, Mert R. Sabuncu, Xia Song |
| 2025 | Position: Build Agent Advocates, Not Platform Agents. | Sayash Kapoor, Noam Kolt, Seth Lazar |
| 2025 | Are Sparse Autoencoders Useful? A Case Study in Sparse Probing. | Subhash Kantamneni, Joshua Engels, Senthooran Rajamanoharan, Max Tegmark, Neel Nanda |
| 2025 | FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks. | Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu |
| 2025 | How Far Is Video Generation from World Model: A Physical Law Perspective. | Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng |
| 2025 | What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? | Katie Kang, Amrith Setlur, Dibya Ghosh, Jacob Steinhardt, Claire J. Tomlin, Sergey Levine, Aviral Kumar |
| 2025 | LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers. | Beom Jin Kang, Nam Joon Kim, Hyun Kim |
| 2025 | A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control. | Zilin Kang, Chenyuan Hu, Yu Luo, Zhecheng Yuan, Ruijie Zheng, Huazhe Xu |
| 2025 | Editable Noise Map Inversion: Encoding Target-image into Noise For High-Fidelity Image Manipulation. | Mingyu Kang, Yong Suk Choi |
| 2025 | SPEX: Scaling Feature Interaction Explanations for LLMs. | Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran |
| 2025 | Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective. | Haidong Kang |
| 2025 | Position: The Most Expensive Part of an LLM *should* be its Training Data. | Nikhil Kandpal, Colin Raffel |
| 2025 | Algorithmic Recourse for Long-Term Improvement. | Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi |
| 2025 | An analytic theory of creativity in convolutional diffusion models. | Mason Kamb, Surya Ganguli |
| 2025 | Solving Zero-Sum Convex Markov Games. | Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras |
| 2025 | Towards Better-than-2 Approximation for Constrained Correlation Clustering. | Andreas Kalavas, Evangelos Kipouridis, Nithin Varma |
| 2025 | The Logical Implication Steering Method for Conditional Interventions on Transformer Generation. | Damjan Kalajdzievski |
| 2025 | UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model. | Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn |
| 2025 | Selective Preference Aggregation. | Shreyas Kadekodi, Hayden McTavish, Berk Ustun |
| 2025 | Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data. | Krzysztof Kacprzyk, Julianna Piskorz, Mihaela van der Schaar |