Papers
Computational Benchmarks for Egyptian Arabic Child Directed Speech
Salam Khalifa, Abed Qaddoumi, Nizar Habash et al.
Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans
Zekun Wang, Sashank Varma
Computing Approximately Proportional Allocations of Indivisible Goods: Beyond Additive and Monotone Valuations
Martin Jupakkal Andersen, Ioannis Caragiannis, Anders Bo Ipsen et al.
Computing Equilibrium Nominations in Presidential Elections
Piotr Faliszewski, Stanisław Kaźmierowski, Grzegorz Lisowski et al.
Computing Probabilistic Explanations for ML Models: Fixed-Parameter Algorithms
Sebastian Ordyniak, Mateusz Rychlicki, Stefan Szeider
Computing Syntax Tree-based Minimal Unsatisfiable Cores of LTLf Formulas
Valeria Fionda, Antonio Ielo, Francesco Ricca
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis
Hongmei Wang, Junlin Hou, Sunan He et al.
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
Sanchit Sinha, Guangzhi Xiong, Zhenghao He et al.
Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations
Shizhan Gong, Xiaofan Zhang, Qi Dou
Conceptual Cultural Index: A Metric for Cultural Specificity via Relative Generality
Takumi Ohashi, Hitoshi Iyatomi
CONCORD: Concept-Informed Diffusion for Dataset Distillation
Jianyang Gu, Haonan Wang, Ruoxi Jia et al.
CondDiff-AMO: Integrating Conditional Diffusion Mechanism for Unified Amodal Mask Generation
CaiJie Zhao, Bob Zhang
Condensed Data Expansion Using Model Inversion for Knowledge Distillation
Kuluhan Binici, Shivam Aggarwal, Cihan Acar et al.
Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition
Yanda Zhu, Yuanyang Zhu, Daoyi Dong et al.
Conditional Distribution Learning for Graph Classification
Jie Chen, Hua Mao, Chuanbin Liu et al.
Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection
Yihua Wang, Qi Jia, Cong Xu et al.
Conditional Learned Reconstruction for Medical Imaging
Nikita Moriakov, George Yiasemis, Jan-Jakob Sonke et al.
Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models
Xin Cheng, Wangding Zeng, Damai Dai et al.
Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation
Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio et al.
Conditional Prompt Learning via Degradation Perception for Underwater Image Enhancement
Mingze Yao, Zhiying Jiang, Xianping Fu et al.
Conditional Text-to-Image Generation with Reference Guidance
Taewook Kim, Ze Wang, Zhengyuan Yang et al.
ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models
Zihan Wang, Rui Zhang, Hongwei Li et al.
Confidence as a Tie-Breaker: Reassessing Multilingual Hedging Bias in LLM-as-a-Judge Evaluation
Rajashik Datta, Sanjan Baitalik
Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
Chuang Zhang, Zizhen Zhu, Yihao Wei et al.