Papers
Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract)
Célian Ringwald, Fabien Gandon, Catherine Faron et al.
What Are the Rules? Discovering Constraints from Data
Boris Wiegand, Dietrich Klakow, Jilles Vreeken
What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases
Luca Andolfi, Gianluca Cima, Marco Console et al.
What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning
Caleb Schultz Kisby, Saúl A. Blanco, Lawrence S. Moss
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction
Shuo Wang, Zhihao Wu, Xiaobo Hu et al.
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception
Wanfang Su, Lixing Chen, Yang Bai et al.
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation
Zhuocheng Gong, Jiahao Liu, Jingang Wang et al.
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
XiaoHui Zhang, Jiangyan Yi, Chenglong Wang et al.
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making
Kate Donahue, Sreenivas Gollapudi, Kostas Kollias
When CEGAR Meets Regression: A Love Story in Optimal Classical Planning
Martín Pozo, Alvaro Torralba, Carlos Linares Lopez
When Do Program-of-Thought Works for Reasoning?
Zhen Bi, Ningyu Zhang, Yinuo Jiang et al.
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection
Dongmin Kim, Sunghyun Park, Jaegul Choo
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract)
Simin Niu, Xun Liang, Sensen Zhang et al.
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana et al.
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney et al.
When Your AI Becomes a Target: AI Security Incidents and Best Practices
Kathrin Grosse, Lukas Bieringer, Tarek R. Besold et al.
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
Ruichu Cai, Yuxuan Zhu, Jie Qiao et al.
Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages
Sameer Jain, Sedrick Scott Keh, Shova Chhetri et al.
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
Gaoxia Jiang, Jia Zhang, Xuefei Bai et al.
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
Walter Gerych, Yara Rizk, Vatche Isahagian et al.
‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation
Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati
Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval
Weihang Su, Qingyao Ai, Xiangsheng Li et al.
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
Kenichiro Ando, Satoshi Sekine, Mamoru Komachi
Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning
Kaizhi Gao, Tianyu Wang, Zhongjing Ma et al.