Papers
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
Fanpu Cao, Yaofo Chen, Zeng You et al.
ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting
Jiaqi Xue, Hongji Dong, Yucen Gao et al.
Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport
Syed Ahmed Mahmood, Ali Shah Ali, Umer Ahmed et al.
Process Evaluation for Agentic Systems
Milan Gritta, Debjit Paul, Xiaoguang Li et al.
Processing Inconsistency Predicts Language Competence: LLM Evaluation Without Answer Labels on Turkic Languages
Ilya Galyukshev, Ilseyar Alimova
Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards
Raffaele Pisano, Roberto Navigli
ProCrop: Learning Aesthetic Image Cropping from Professional Compositions
Ke Zhang, Tianyu Ding, Jiachen Jiang et al.
ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory Distillation
Jiangyuan Wang, Kejun Xiao, Huaipeng Zhao et al.
ProEthica: A Professional Role Based Ethical Analysis Tool Using LLM-Orchestrated, Ontology Supported Case Based Reasoning
Christopher B. Rauch, Rosina O. Weber
Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation
Huachen Qi, Ruiyu Zhuo, Bowen Shi et al.
ProFuser: Progressive Fusion of Large Language Models
Tianyuan Shi, Fanqi Wan, Canbin Huang et al.
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs
Weigang Lu, Ziyu Guan, Wei Zhao et al.
ProgRAG: Hallucination-Resistant Progressive Retrieval and Reasoning over Knowledge Graphs
Minbae Park, Hyemin Yang, Jeonghyun Kim et al.
Programming over Thinking: Efficient and Robust Multi-Constraint Planning
Derrick Goh Xin Deik, Quanyu Long, Zhengyuan Liu et al.
Program-of-Thought Reveals LLM Abstraction Ceilings
Mike Zhou, Fenil Bardoliya, Vivek Gupta et al.
Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce
Lakshman Kolasani, Fatemeh Taheri Dezaki
Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification
Aihua Zheng, Pengyu Li, Zi Wang et al.
Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering
Changin Choi, Wonseok Lee, Jungmin Ko et al.
Progressive Visual Refinement for Multi-modal Summarization
Ye Xiong, Hidetaka Kamigaito, Soichiro Murakami et al.
ProgressLM: Towards Progress Reasoning in Vision-Language Models
Jianshu Zhang, Chengxuan Qian, Haosen Sun et al.
Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification
Zenghao Duan, Zhiyi Yin, Zhichao Shi et al.
ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization
Jungwuk Park, Dong-Jun Han, Jaekyun Moon
ProMedical: Hierarchical Fine-Grained Criteria Modeling for Medical LLM Alignment via Explicit Injection
He Geng, Yangmin Huang, Lixian Lai et al.
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
Hongxin Ding, Baixiang Huang, Yue Fang et al.
Prometheus: Unsupervised Discovery of Phase Transitions and Order Parameters in the 2D Ising Model Using Variational Autoencoders (Student Abstract)
Brandon Yee, Wilson Collins, Caden Wang et al.