Papers
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.
On the Intelligibility of Romance Language Varieties: Spanish and Portuguese in Europe and America
Liviu P. Dinu, Ana Sabina Uban, Teodor-George Marchitan et al.
On the Interplay between Human Label Variation and Model Fairness
Kemal Kurniawan, Meladel Mistica, Timothy Baldwin et al.
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang et al.
On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning
Zijie Pan, Zuobin Ying, Yajie Wang et al.
On the Probabilistic Learnability of Compact Neural Network Preimage Bounds
Luca Marzari, Manuele Bicego, Ferdinando Cicalese et al.
On the Proper Treatment of Units in Surprisal Theory
Samuel Kiegeland, Vésteinn Snæbjarnarson, Tim Vieira et al.
On the Rejection Criterion for Proxy-based Test-time Alignment
Ayoub Hammal, Pierre Zweigenbaum, Caio Corro
On the Robustness of Bandit Multiple Testing
Zhengyu Zhou, Weiwei Liu