Papers
176,624 papers found
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification
Tianwen Zhu, Guangyu Wu, Zhiwei Cao et al.
Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids
Ke Ma, Yizhou Fang, Jean-Baptiste Weibel et al.
PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems
Qi Guo, Xiaojun Jia, Shanmin Pang et al.
PHYSPLAT: a Framework for Photorealistic Hybrid Simulation of Real and Synthetic Elements using 3D Gaussian Splatting
Mario Alfonso-Arsuaga, Henar Dominguez-Elvira, Jorge Casas-Guerrero et al.
PhyVer: Physics-Grounded Material Claim Verification with Multi-Fidelity Physical Evidence
Jianpeng Chen, Wangzhi Zhan, Haohui Wang et al.
PIArena: A Platform for Prompt Injection Evaluation
Runpeng Geng, Chenlong Yin, Yanting Wang et al.
PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data
Paweł Batorski, Paul Swoboda
Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments
Niclas Boehmer, Maximilian T. Wittmann
PictureStories: Predicting the Task Adherence of Language Learner Answers to a Picture Story-Based Writing Task
Marie Bexte, Andrew Caines, Diane Nicholls et al.
Piece of Table: A Divide-and-Conquer Approach for Selecting Subtables in Table Question Answering
Wonjin Lee, Kyumin Kim, Sungjae Lee et al.
Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios
Siyu Chen, Shiqiang Ma, Fei Guo
PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRA
Baisong Li, Xingwang Wang, Haixiao Xu
PII-Bench: Evaluating Query-Aware Privacy Protection Systems
Hao Shen, Zhouhong Gu, Haokai Hong et al.
PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage
Amar Kumar, Zahra TehraniNasab, Emily Kaczmarek et al.
PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models
Haoyu Zheng, Yun Zhu, Yuqian Yuan et al.
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics
Han Wan, Qi Wang, Yuan Mi et al.
PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations
Ho Kyung Shin, Soeun Bae, Sang Min Kim et al.
PINGS-X: Physics-Informed Normalized Gaussian Splatting with Axes Alignment for Efficient Super-Resolution of 4D Flow MRI
Sun Jo, Seok Young Hong, Jinhyun Kim et al.
Pioneering Bot Detection on Polish Reddit at the Comment Level
Karmela Matyjaszek
PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling
Sijie Wang, Qiang Wang, Shaohuai Shi
PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks
Kewei Chen, Yayu Long, Mingsheng Shang
PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models
Zilu Guo, Hongbin Lin, Zhihao Yuan et al.
PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation
Fuyuan Cao, Jiaxuan Zhang, Xiaoli Li