Papers
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.
PCGS: Progressive Compression of 3D Gaussian Splatting
Yihang Chen, Mengyao Li, Qianyi Wu et al.
P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist
Kwangwook Seo, Dongha Lee
PCoKG: Personality-aware Commonsense Reasoning with Debate
Weijie Li, Zhongqing Wang, Guodong Zhou
PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning
Zhuoyao Liu, Yang Liu, Wentao Feng et al.
PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis
Yakir Yehuda, Kira Radinsky
PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection
Jinhan Liu, Yibo Yang, Ruiying Lu et al.
PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference
Hao Zhang, Lyu Mengsi, Zhuo Chen et al.
PDV: Prompt Directional Vectors for Zero-shot Composed Image Retrieval
Osman Tursun, Sinan Kalkan, Simon Denman et al.
PEAP: Proactive Embodied Action Sequence Planning with Joint Understanding of Vision and Audio Perception
Tianwei Lan, Jiaqi Wu, Zeming Liu et al.
PEaRL: Pathway-Enhanced Representation Learning for Gene and Pathway Expression Prediction from Histology
Sejuti Majumder, Saarthak Kapse, Moinak Bhattacharya et al.
PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning
Bingxuan Li, Jeonghwan Kim, Cheng Qian et al.
PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation
Lorenzo Proietti, Roman Grundkiewicz, Matt Post
PEAR: Planner-Executor Agent Robustness Benchmark
Shen Dong, Mingxuan Zhang, Pengfei He et al.
Peek2: Regex-free Byte-level Byte-Pair Encoding Pretokenizer for LLM Inference on Edge Devices
Liu Zai, Iraklis A. Klampanos
PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations
Gao Mo, Naveen Janaki Raman, Megan Chai et al.