Papers
Position Fair Mechanisms Allocating Indivisible Goods
Ryoga Mahara, Ryuhei Mizutani, Taihei Oki et al.
Positive Definite Sparse Covariance Estimation via Dual Space Optimization
Fengpei Li, Wenfu Xia, Ziping Zhao
PosPrune: Visual Token Pruning with Positional Bias Correction for Efficient Large Vision-Language Models
Ziyang Wang, Mengwei Li, Hao Yin et al.
Posterior Label Smoothing for Node Classification
Jaeseung Heo, MoonJeong Park, Dongwoo Kim
PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography
Junle Liu, Peirong Zhang, Yuyi Zhang et al.
Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis
Xinyue Li, Wang Hu, Yu Zhang
Post Training Quantization for Efficient Dataset Condensation
Linh-Tam Tran, Sung-Ho Bae
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
Jiajie Su, Zihan Nan, Yunshan Ma et al.
Potential Outcome Rankings for Counterfactual Decision Making
Yuta Kawakami, Jin Tian
PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning
Qianyue Cao, Zongwei Zhu, Zirui Lian et al.
PPGPT: Transferring Next-Token Modeling from Language to PPG Signals
Zexing Zhang, Huimin Lu, Qingxin Zhao
PPS: An Efficient Java-based Simulator for Time-Discrete PDDL+
Enrico Scala, Francesco Percassi, Mauro Vallati
PQDA:Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL
Yun Zhou, Yuqiang Wu, Chunyu Tan
Practical Global and Local Bounds in Gaussian Process Regression via Chaining
Junyi Liu, Stanley Kok
Practical, Utilitarian Algorithm Configuration
Devon R. Graham, Eros Rojas Velez, Kevin Leyton-Brown
PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
Ke Jia, Yuheng Ma, Yang Li et al.
PRAGWORLD: A Benchmark Evaluating LLMs’ Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics
Sachin Vashistha, Aryan Bibhuti, Atharva Naik et al.
PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
Abhishek Divekar, Anirban Majumder
Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise
Xingcheng Liu, Bin Rao, Yanchen Guan et al.
Predicting Emergent Tool Use in LLMs Before It Emerges: A Proxy Perspective
Bo-Wen Zhang, Yan Yan, Guang Liu et al.
Predicting Session Termination and Retention on X from Fine-Grained Interaction Logs (Student Abstract)
Cai Yang, Kokil Jaidka, Subhayan Mukerjee et al.
Predicting the Future by Retrieving the Past
Dazhao Du, Tao Han, Song Guo
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
Rongzhen Zhao, Jian Li, Juho Kannala et al.
Prediction of Hospital Associated Infections During Continuous Hospital Stays
Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein et al.
Predictive Display for Teleoperation Based on Vector Fields Using Lidar-Camera Fusion (Abstract Reprint)
Gaurav Sharma, Jeff Calder, Rajesh Rajamani