Papers
Advancing Feature Extraction in Healthcare through the Integration of Knowledge Graphs and Large Language Models
Fahmida Liza Piya, Rahmatollah Beheshti
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models
Wei Wang, Zhaowei Li, Qi Xu et al.
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
Yankai Jiang, Peng Zhang, Donglin Yang et al.
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks
Mikołaj Małkiński, Jacek Mańdziuk
Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding
Zhanpeng Chen, Mingxiao Li, Ziyang Chen et al.
Advancing Graph Generation through Beta Diffusion
Xinyang Liu, Yilin He, Bo Chen et al.
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
Zhihan Zhang, Renze Lou, Fangkai Jiao et al.
Advancing LLM Reasoning Generalists with Preference Trees
Lifan Yuan, Ganqu Cui, Hanbin Wang et al.
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
Shengjia Zhang, Jiawei Chen, Changdong Li et al.
Advancing Manga Analysis: Comprehensive Segmentation Annotations for the Manga109 Dataset
Minshan Xie, Jian Lin, Hanyuan Liu et al.
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages
Zui Chen, Tianqiao Liu, Tongqing et al.
Advancing Medical Image Segmentation with Self-Supervised Learning: A 3D Student-Teacher Approach for Cardiac and Neurological Imaging
Moona Mazher, Daniel C. Alexander, Abdul Qayyum et al.
Advancing Medical Representation Learning Through High-Quality Data
Negin Baghbanzadeh, Adibvafa Fallahpour, Yasaman Parhizkar et al.
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
Mohan Zhang, Pingzhi Li, Jie Peng et al.
Advancing Multilingual Speaker Identification and Verification for Indo-Aryan and Dravidian Languages
Braveenan Sritharan, Uthayasanker Thayasivam
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
Xianrui Li, Yufei Cui, Jun Li et al.
Advancing Myopia To Holism: Fully Contrastive Language-Image Pre-training
Haicheng Wang, Chen Ju, Weixiong Lin et al.
Advancing Out-of-Distribution Detection via Local Neuroplasticity
Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi et al.
Advancing Oversight Reasoning across Languages for Audit Sycophantic Behaviour via X-Agent
Giulia Pucci, Leonardo Ranaldi
Advancing Persian LLM Evaluation
Sara Bourbour Hosseinbeigi, Behnam Rohani, Mostafa Masoudi et al.
Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge
Hanglei Hu, Yingying Guo, Zhikang Chen et al.
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi KANG, Liyuan Wang, Xingxing Zhang et al.
Advancing Question Generation with Joint Narrative and Difficulty Control
Bernardo Leite, Henrique Lopes Cardoso