Papers
PPS: An Efficient Java-based Simulator for Time-Discrete PDDL+
Enrico Scala, Francesco Percassi, Mauro Vallati
PQDA:Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL
Yun Zhou, Yuqiang Wu, Chunyu Tan
Praat++: Multimedia Annotation System for Speech and Vocalization
Weiran Zhang, Kenny Q. Zhu
Practical Global and Local Bounds in Gaussian Process Regression via Chaining
Junyi Liu, Stanley Kok
Practical Guidelines for Model Merging in LLMs Pre-Training
Giuseppe Curci, Stefano Simonazzi, Andrea molinari et al.
Practical, Utilitarian Algorithm Configuration
Devon R. Graham, Eros Rojas Velez, Kevin Leyton-Brown
Practising responsibility: Ethics in NLP as a hands-on course
Malvina Nissim, Viviana Patti, Beatrice Savoldi
PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
Ke Jia, Yuheng Ma, Yang Li et al.
PRAGWORLD: A Benchmark Evaluating LLMs’ Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics
Sachin Vashistha, Aryan Bibhuti, Atharva Naik et al.
PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning
Afra Feyza Akyürek, Advait Gosai, Chen Bo Calvin Zhang et al.
PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
Abhishek Divekar, Anirban Majumder
Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation
Hanwen Shen, Ting Ying, Jiajie Lu et al.
Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs
Kyungho Kim, Yeonje Choi, Gyurim Hwang et al.
Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise
Xingcheng Liu, Bin Rao, Yanchen Guan et al.
Predicting Convincingness in Political Speech: How Emotional Tone Shapes Persuasive Strength
Bhuvanesh Verma, Mounika Marreddy, Alexander Mehler
Predicting Emergent Tool Use in LLMs Before It Emerges: A Proxy Perspective
Bo-Wen Zhang, Yan Yan, Guang Liu et al.
Predicting Session Termination and Retention on X from Fine-Grained Interaction Logs (Student Abstract)
Cai Yang, Kokil Jaidka, Subhayan Mukerjee et al.
Predicting Task fMRI Contrasts from Resting-State fMRI Using Sparse 3D Convolutions
Ivan Sviridov, Maria Boyko, Maksim Sharaev
Predicting the Future by Retrieving the Past
Dazhao Du, Tao Han, Song Guo
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
Rongzhen Zhao, Jian Li, Juho Kannala et al.
Prediction of Hospital Associated Infections During Continuous Hospital Stays
Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein et al.
Predictive Display for Teleoperation Based on Vector Fields Using Lidar-Camera Fusion (Abstract Reprint)
Gaurav Sharma, Jeff Calder, Rajesh Rajamani
Predictive inference for time series: why is split conformal effective despite temporal dependence?
Rina Foygel Barber, Ashwin Pananjady
PredMapNet: Future and Historical Reasoning for Consistent Online HD Vectorized Map Construction
Bo Lang, Nirav Savaliya, Zhihao Zheng et al.
Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model
Junshu Pan, Wei Shen, Shulin Huang et al.