Papers
BoneMet: An Open Large-Scale Multi-Modal Murine Dataset for Breast Cancer Bone Metastasis Diagnosis and Prognosis
Tiankuo Chu, Fudong Lin, Shubo Wang et al.
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
Guofu Xie, Xiao Zhang, Ting Yao et al.
Bonsai: Gradient-free Graph Condensation for Node Classification
Mridul Gupta, Samyak Jain, Vansh Ramani et al.
BookAsSumQA: An Evaluation Framework for Aspect-Based Book Summarization via Question Answering
Ryuhei Miyazato, Ting-Ruen Wei, Xuyang Wu et al.
BookAsSumQA: An Evaluation Framework for Aspect-Based Book Summarization via Question Answering
Ryuhei Miyazato, Ting-Ruen Wei, Xuyang Wu et al.
BOOKCOREF: Coreference Resolution at Book Scale
Giuliano Martinelli, Tommaso Bonomo, Pere-Lluís Huguet Cabot et al.
BOOKWORLD: From Novels to Interactive Agent Societies for Story Creation
Yiting Ran, Xintao Wang, Tian Qiu et al.
BoolXAI: Explainable AI Using Expressive Boolean Formulas
Serdar Kadioglu, Elton Yechao Zhu, Gili Rosenberg et al.
Boost 3D Reconstruction using Diffusion-based Monocular Camera Calibration
Junyuan Deng, Wei Yin, Xiaoyang Guo et al.
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation
Kounianhua Du, Hanjing Wang, Jianxing Liu et al.
Boost Embodied AI Models with Robust Compression Boundary
Chong Yu, Tao Chen, Zhongxue Gan
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
Tiansheng Huang, Sihao Hu, Fatih Ilhan et al.
Boosting Adversarial Transferability through Augmentation in Hypothesis Space
Yu Guo, Weiquan Liu, Qingshan Xu et al.
Boosting Adversarial Transferability via Negative Hessian Trace Regularization
Yunfei Long, Zilin Tian, Liguo Zhang et al.
Boosting Adversarial Transferability via Residual Perturbation Attack
Jinjia Peng, Zeze Tao, Huibing Wang et al.
Boosting Causal Additive Models
Maximilian Kertel, Nadja Klein
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework
Wei Xiao, Hongbin Wang, Ming He et al.
Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels
Yuhang Li, Zhuying Li, Yuheng Jia
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
Fei Shen, Hu Ye, Sibo Liu et al.
Boosting Data Utilization for Multilingual Dense Retrieval
Chao Huang, Fengran Mo, Yufeng Chen et al.
Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution
Shao-Hao Lu, Ren Wang, Ching-Chun Huang et al.
Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and Transferability
Boyong He, Yuxiang Ji, Zhuoyue Tan et al.
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
Qiang Wang, Xiang Song, Yuhang He et al.
Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
Zhaowei Wu, Binyi Su, Qichuan Geng et al.
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning
Qingqing Fang, Qinliang Su, Wenxi Lv et al.