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 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 Using MultiModal LLMs to Execute AR Social Engineering Attacks
Ting Bi, Chenghang Ye, Zheyu Yang 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 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 Robustness of Bandit Multiple Testing
Zhengyu Zhou, Weiwei Liu
On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models
Ding Cao, Yuchen Cai, Yuqing Huang et al.
OpenCowID: Zero-Shot Visual Identification of Dairy Cows
Omkar Prabhune, Younghyun Kim
Open-Domain Safety Policy Construction
Di Wu, Siyue Liu, Zixiang Ji et al.
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
Xingcheng Zhou, Xuyuan Han, Feng Yang et al.
OpenLID-v3: Improving the Precision of Closely Related Language Identification – An Experience Report
Mariia Fedorova, Nikolay Arefyev, Maja Buljan et al.
OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models
Ryoto Miyamoto, Xin Fan, Fuyuko Kido et al.
OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding
Youjun Zhao, Jiaying Lin, Shuquan Ye et al.
Open-World 3D Scene Graph Generation for Retrieval-Augmented Reasoning
Yu Fei, Quan Deng, Shengeng Tang et al.
Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning
Haiyang Zheng, Nan Pu, Wenjing Li et al.