Papers
176,624 papers found
Boosting Multi-modal Keyphrase Prediction with Dynamic Chain-of-Thought in Vision-Language Models
Qihang Ma, Shengyu Li, Jie Tang et al.
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference
Zhihang Lin, Mingbao Lin, Luxi Lin et al.
Boosting Multimodal Learning via Disentangled Gradient Learning
Shicai Wei, Chunbo Luo, Yang Luo
Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction
Runmin Zhang, Zhu Yu, Si-Yuan Cao et al.
Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport
Mengnan Liu, Le Wang, Sanping Zhou et al.
Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA
Chi-Min Chan, Chunpu Xu, Junqi Zhu et al.
Boosting Protein Graph Representations through Static-Dynamic Fusion
Pengkang Guo, Bruno Correia, Pierre Vandergheynst et al.
Boosting Segment Anything Model Towards Open-Vocabulary Learning
Xumeng Han, Longhui Wei, Xuehui Yu et al.
Boosting Semi-Supervised Video Action Detection with Temporal Context
Donghyeon Kwon, Inho Kim, Suha Kwak
Boosting Sentiment Analysis in Persian through a GAN-Based Synthetic Data Augmentation Method
Masoumeh Mohammadi, Mohammad Ruhul Amin, Shadi Tavakoli
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning
Yonghao Liu, Mengyu Li, Wei Pang et al.
Boosting Test Performance with Importance Sampling--a Subpopulation Perspective
Hongyu Shen, Zhizhen Zhao
Boosting Text-to-SQL through Multi-grained Error Identification
Bo Xu, Shufei Li, Hongyu Jing et al.
Boosting the Capabilities of Compact Models in Low-Data Contexts with Large Language Models and Retrieval-Augmented Generation
Bhargav Shandilya, Alexis Palmer
Boosting the Dual-Stream Architecture in Ultra-High Resolution Segmentation with Resolution-Biased Uncertainty Estimation
Rong Qin, Xingyu Liu, Jinglei Shi et al.
Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training
Weiwei Cao, Jianpeng Zhang, Zhongyi Shui et al.
Boosting Vision State Space Model with Fractal Scanning
Haoke Xiao, Lv Tang, Peng-tao Jiang et al.
Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion
Qingguo Hu, Ante Wang, Jia Song et al.
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification
Yucong Meng, Zhiwei Yang, Yonghong Shi et al.
Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
Xin-Cheng Wen, Yijun Yang, Cuiyun Gao et al.
Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation
Yuxin Li, Zihao Zhu, Yuxiang Zhang et al.
Boost Your Human Image Generation Model via Direct Preference Optimization
Sanghyeon Na, Yonggyu Kim, Hyunjoon Lee
BOOTPLACE: Bootstrapped Object Placement with Detection Transformers
Hang Zhou, Xinxin Zuo, Rui Ma et al.
Bootstrap3D: Improving Multi-view Diffusion Model with Synthetic Data
Zeyi Sun, Tong Wu, Pan Zhang et al.
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
Wenbo Zhang, Lu Zhang, Ping Hu et al.