Papers
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
Wenrui Zhao, Yijun Tian, Zhichao Xu et al.
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
Ha Minh Hieu, Hung Phan, Tung Duy Doan et al.
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data
Haoran Gu, Handing Wang, Yi Mei et al.
Pareto-optimal Non-uniform Language Generation
Moses Charikar, Chirag Pabbaraju
PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning
Rongchuan Mu, Zexin Wang, Qianyu Wang et al.
Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan Neutralization
Michele Joshua Maggini, Søren Fomsgaard, Michele Maestroni et al.
Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization
Negar Foroutan, Clara Meister, Debjit Paul et al.
ParsCORE: The Persian Corpus of Online Registers
Alireza Razzaghi, Erik Henriksson, Veronika Laipalla
ParseJargon: Personalized Real-time Jargon Support in Online Meetings
Yifan Song, Wing Yee Au, Hon Yung Wong et al.
PARS: Partial-Label-Learning-inspired Recommender Systems
Shanshan Ye, Kezhi Lu, Guangquan Zhang et al.
ParsTranslit: Truly Versatile Tajik-Farsi Transliteration
Rayyan Merchant, Kevin Tang
Partial Action Replacement: Tackling Distribution Shift in Offline MARL
Yue Jin, Giovanni Montana
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
Xinpeng Lv, Chunyuan Zheng, Yunxin Mao et al.
Partially Shared Concept Bottleneck Models
Delong Zhao, Qiang Huang, Di Yan et al.
PartialNet: Compute Less, Perform Better
Haiduo Huang, Tian Xia, Wenzhe Zhao et al.
PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media
Michele Joshua Maggini, Paloma Piot, Anxo Pérez et al.
PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCR
Yao Yao, Manwen Liao, Weitian Zhang et al.
PaSAL: A Deep Learning Pipeline for Pulmonary Artery-Vein Segmentation and Anatomical Labeling in Thoracic CT
Jasper Eppink, Hoel Kervadec, Julian van Capelleveen et al.
PASA: Progressive-Adaptive Spectral Augmentation for Automated Auscultation in Data-Scarce Environments
Ying Wang, Guoheng Huang, Xueyuan Gong et al.
PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement
Xiaobin Rong, Qinwen Hu, Mansur Yesilbursa et al.
PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis
Kang He, Boyu Chen, Yuzhe Ding et al.
PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning
ZhiYan Hou, Haiyun Guo, Haokai Ma et al.
PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning
Yushi Feng, Junye Du, Yingying Hong et al.
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
Ai Jian, Jingqing Ruan, Xing Ma et al.
PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
Po-Han Huang, Jeng-Lin Li, Po-Hsuan Huang et al.