Papers
On Purely Private Covariance Estimation
Tommaso d’Orsi, Gleb Novikov
On Robustness of Linear Classifiers to Targeted Data Poisoning
Nakshatra Gupta, Sumanth Prabhu S, Supratik Chakraborty et al.
On Stealing Graph Neural Network Models
Marcin Podhajski, Jan Dubiński, Franziska Boenisch et al.
On the Additive Compositionality of Task Vectors in Vision–Language Models
Yuting Shi, Houjing Wei, Naoya Inoue
On the Alignment of Large Language Models with Global Human Opinion
Yang Liu, Masahiro Kaneko, Chenhui Chu
On the Approximation Ratio of Optimal Fixed-Price Mechanisms for Single and Multi-Unit Bilateral Trade
Giordano Giambartolomei, Bart de Keijzer
On the Calibration of Image Semi-Supervised Learning Models
Mehrab Mustafy Rahman, Jayanth Mohan, Tiberiu Sosea et al.
On the Continued Value of Universal Dependencies in the Era of Large Language Models
Wenxi Li, Jingyu Peng
On the Credibility of Evaluating LLMs using Survey Questions
Jindřich Libovický
On the Dataless Training of Neural Networks
Alvaro Velasquez, Susmit Jha, Ismail R. Alkhouri
On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting
Ratip Emin Berker, Emanuel Tewolde, Vincent Conitzer et al.
On the Effect of Hyperparameters in Language Modeling for Computational Linguistics
Ruoxi Ning, Yongpeng Zhu, Qingcheng Zeng et al.
On the Emergence and Test-Time Use of Structural Information in Large Language Models
Michelle Chao Chen, Moritz Miller, Bernhard Schölkopf et al.
On the Emotion Understanding of Synthesized Speech
Yuan Ge, Haishu Zhao, AoKai Hao et al.
On the Evaluation of Capability Estimation Methods for Large Language Models
Qiang Hu, Jin Wen, Yao Zhang et al.
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
Zhirui Chen, Vincent Y. F. Tan
On the Feasibility of Fréchet Radiomic Distance–Constrained Adversarial Examples in Medical Imaging: Methods and Trade-offs
Mohamed Mahmoud, Shehab Khaled, Mohamed Elkhayat et al.
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
Ting Bi, Chenghang Ye, Zheyu Yang et al.
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
Changyu Liu, Yiyang Liu, Taowen Wang et al.
On the Hardness of Learning Regular Expressions
Idan Attias, Lev Reyzin, Nathan Srebro et al.
On the Hidden Objective Biases of Group-based Reinforcement Learning
Aleksandar Fontana, Marco Simoni, Giulio Rossolini et al.
On the Impact of Weight Quantization on Deep Neural Network Uncertainty
Shuang Liang, Xun Lu, Zi-Ang Liu et al.
On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples
Cheongjae Jang, Jonghyun Won, Soyeon Jun et al.
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
Zhengyi Li, Yakai Wang, Jingwen Leng et al.