Papers
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering
Wenlin Zhong, Chengyuan Liu, Yiquan Wu et al.
PAC-Bayesian Analysis of the Surrogate Relation between Joint Embedding and Supervised Downstream Losses
Theresa Wasserer, Maximilian Fleissner, Debarghya Ghoshdastidar
PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents
Lei Wei, Xiao Peng, Tt et al.
Pacing Equilibria in Second-Price Auctions with Few Buyers
Yonglei Yan, Zihe Wang, Zhengyang Liu
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Jingcheng Hu, Yinmin Zhang, Shijie Shang et al.
PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork
Hohei Chan, Xinzhi Zhang, Antao Xiang et al.
PADM: A Physics-aware Diffusion Model for Attenuation Correction
Trung Kien Pham, Hoang Minh Vu, Anh Duc Chu et al.
PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning
Yingjie Ma, Xun Lin, Yong Xu et al.
PAGE: A Unified Approach for Federated Graph Unlearning
Yuming Ai, Xunkai Li, Jiaqi Chao et al.
PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference
Krishna Teja Chitty-Venkata, Jie Ye, Siddhisanket Raskar et al.
PAGER: Proactive Monitoring Agent for Enterprise AI Assistant
Sujan Dutta, Junior Francisco Garcia Ayala, Pranav Pujar et al.
PAGET: Hierarchical Multi-Teacher Knowledge Distillation for Comprehensive Tumor Microenvironment Segmentation
Daisuke Komura, Maki Takao, Mieko Ochi et al.
PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery
Ju Jia, Jiansen Song, Jingxuan Yu et al.
Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy
Qiang Hu, Qimei Wang, Yingjie Guo et al.
Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation
Jiajia Li, Huisi Wu
PALMS+: Modular Image-Based Floor Plan Localization Leveraging Depth Foundation Model
Yunqian Cheng, Benjamin Princen, Roberto Manduchi
PAL: Personal Adaptive Learner
Megha Chakraborty, Darssan L. Eswaramoorthi, Madhur Thareja et al.
PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition
Zhihao Xu, Fuzhen Yang, Liang Lin et al.
PANDA: Empowering Small Language Models for Proactive Dialogue Through Agent-Based Synthesis (Student Abstract)
Rongyu Zhang, Dingyuan Zhang, Haopeng Li
PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning
Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu
Panda: Test-Time Adaptation with Negative Data Augmentation
Ruxi Deng, Wenxuan Bao, Tianxin Wei et al.
PandemIQ Llama: A Domain-Adapted Foundation Model for Enhanced Pandemic Intelligence
Jingmei Yang, Mahtab Talaei, Britta Lassmann et al.
PanFlow: Decoupled Motion Control for Panoramic Video Generation
Cheng Zhang, Hanwen Liang, Donny Y. Chen et al.
PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
Xiaoshui Huang, Tianlin Zhu, Yifan Zuo et al.
Pano-GS: Perception-Aware Gaussian Optimization with Gradient Consistency and Multi-Criteria Densification for High-Quality Rendering
Yang Deng, Zhanke Wang, Jiahao Wu et al.