Papers
Patches of Nonlinearity: Instruction Vectors in Large Language Models
Irina Bigoulaeva, Jonas Rohweder, Subhabrata Dutta et al.
PatchET: Learning Enzyme Temperature Properties Through Patch-Based Neural Architectures
Ziqi Zhang, Runze Yang, Longbing Cao et al.
PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing
Anthony Hughes, Vasisht Duddu, N. Asokan et al.
Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching
Wonseok Choi, Sohwi Lim, Nam Hyeon-Woo et al.
pAtChWoRK: Patching the Pieces of Public Procurement Documents
Lorena Calvo-Bartolomé, Saúl Blanco Fortes, Erick Cedeño et al.
Patch Your Matcher: Correspondence-Aware Image-to-Image Translation Unlocks Cross-Modal Matching via Single-Modality Priors
Anton Frolov, Volker Rodehorst
PatentVision: A multimodal method for drafting patent applications
Ruo Yang, Sai Krishna Reddy Mudhiganti, Manali Sharma
PATexGS: Perceptual-Adaptive Texture Scheduling for Visual Coherence in Textured Gaussian Splatting
Yuesong Wang, Dounian Ma, Xiaoyu Chen et al.
PathBuilder: A Quality-Controlled LLM System for Personalized Learning Pathways
Jasper Meynard Arana, John Andrew Mañacop, John Allen Manacop et al.
Path-Constrained Haptic Motion Guidance via Adaptive Phase-Based Admittance Control (Abstract Reprint)
Erfan Shahriari, Petr Svarny, Seyed Ali Baradaran Birjandi et al.
PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology
Fengchun Liu, Songhan Jiang, Linghan Cai et al.
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
Yu Liu, Xixun Lin, Yanmin Shang et al.
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
Wenchuan Zhang, Jingru Guo, Hengzhe Zhang et al.
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner
Wenchuan Zhang, Penghao Zhang, Jingru Guo et al.
PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths
Boyu Chen, Zirui Guo, Zidan Yang et al.
Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference
Cory Butz, Alejandro Santoscoy-Rivero, Camilla Lewis
Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL
Yifei Shen, Yilun Zhao, Justice Ou et al.
PatientVLM Meets DocVLM: Pre-Consultation Dialogue Between Vision-Language Models for Efficient Diagnosis
K Lokesh, Abhirama Subramanyam Penamakuri, Uday Agarwal et al.
PaT: Planning-after-Trial for Efficient Test-Time Code Generation
Youngsik Yoon, Sungjae Lee, Seockbean Song et al.
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva et al.
Pb4U-GNet: Resolution-Adaptive Garment Simulation via Propagation-before-Update Graph Network
Aoran Liu, Kun Hu, Clinton Ansun Mo et al.
PBR3DGen: A VLM-Guided Mesh Generation with High-Quality PBR Texture
Xiaokang Wei, Bowen Zhang, Xianghui Yang et al.
PC-CrossDiff: Point-Cluster Dual-Level Cross-Modal Differential Attention for Unified 3D Referring and Segmentation
Wenbin Tan, Jiawen Lin, Fangyong Wang et al.
PC-Flow: Preference Alignment in Flow Matching via Classifier
Shaomeng Wang, He Wang, Longquan Dai et al.
PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination
Bo Zeng, Zhi Pang, Yuyang Zhang et al.