Papers
PropXplain: Can LLMs Enable Explainable Propaganda Detection?
Maram Hasanain, Md Arid Hasan, Mohamed Bayan Kmainasi et al.
ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
Yi Pan, Yujia Zhang, Michael Kampffmeyer et al.
ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom
Jingqi Zhou, Sheng Wang, Jingwei Dong et al.
Protein Large Language Models: A Comprehensive Survey
Yijia Xiao, Wanjia Zhao, Junkai Zhang et al.
Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild
Sheshera Mysore, Debarati Das, Hancheng Cao et al.
ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
Xingjian Diao, Weiyi Wu, Keyi Kong et al.
ProtoXTM: Cross-Lingual Topic Modeling with Document-Level Prototype-based Contrastive Learning
Seung-Won Seo, Soon-Sun Kwon
Proxy Barrier: A Hidden Repeater Layer Defense Against System Prompt Leakage and Jailbreaking
Pedro Schindler Freire Brasil Ribeiro, Iago Alves Brito, Rafael Teixeira Sousa et al.
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
Byeongho Yu, Changhun Lee, Jun-gyu Jin et al.
Pruning the Paradox: How CLIP’s Most Informative Heads Enhance Performance While Amplifying Bias
Avinash Madasu, Vasudev Lal, Phillip Howard
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
Yao Fu, Runchao Li, Xianxuan Long et al.
PSET: a Phonetics-Semantics Evaluation Testbed
Gianluca Sperduti, Dong Nguyen
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
Shang Ma, Tianyi Ma, Jiahao Liu et al.
PTUK-HULAT at AraGenEval Shared Task: Fine-tuning XLM-RoBERTa for AI-Generated Arabic News Detection
Tasneem Duridi, Areej Jaber, Paloma Martínez
Public Data Assisted Differentially Private In-Context Learning
Seongho Joo, Hyukhun Koh, Kyomin Jung
PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning
Yaoshu Wang, Mengyi Yan, Wei Wang
PunMemeCN: A Benchmark to Explore Vision-Language Models’ Understanding of Chinese Pun Memes
Zhijun Xu, Siyu Yuan, Yiqiao Zhang et al.
Pun Unintended: LLMs and the Illusion of Humor Understanding
Alessandro Zangari, Matteo Marcuzzo, Andrea Albarelli et al.
PuxAI at QIAS 2025: Multi-Agent Retrieval-Augmented Generation for Islamic Inheritance and Knowledge Reasoning
Nguyen Xuan Phuc, Thìn Đặng Văn
Puzzled by Puzzles: When Vision-Language Models Can’t Take a Hint
Heekyung Lee, Jiaxin Ge, Tsung-Han Wu et al.
PVTNL: Prompting Vision Transformers with Natural Language for Generalizable Person Re-identification
Wangning, Lei Xie, Sanglu Lu et al.
PychoAgent: Psychology-driven LLM Agents for Explainable Panic Prediction on Social Media during Sudden Disaster Events
Mengzhu Liu, Zhengqiu Zhu, Chuan Ai et al.
QA‐LIGN: Aligning LLMs through Constitutionally Decomposed QA
Jacob Dineen, Aswin Rrv, Qin Liu et al.