Papers
Probabilistic Safety Verification of Neural Policies via Predicate Abstraction
Marcel Vinzent, Holger Hermanns, Jörg Hoffmann
Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
Manh Nguyen, Sunil Gupta, Hung Le
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
Ganxi Xu, Jinyi Long, Jia Zhang
ProBench: Benchmarking GUI Agents with Accurate Process Information
Leyang Yang, Ziwei Wang, Xiaoxuan Tang et al.
PROBES : Performance and Relevance Observation for BEtter Search
Sejal Jain, Cyrus Andre DSouza, Jitenkumar Babubhai Rana et al.
Probing Audio-Visual Reasoning in Multimodal Language Models through the Lens of Audio
Kaixiong Gong, Kaituo Feng, Bohao Li et al.
Probing Bias Formation in Medical LLMs through Activation Steering
Bayram Ayadi, Annette Hautli-Janisz
Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division
Jaroslaw Byrka, Franciszek Malinka, Tomasz Ponitka
Probing for Reading Times
Eleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re et al.
Probing Functional Correctness in Diffusion Language Models
Guan-Ming Chiu, Jeng-Yue Liu
Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models
Chenglong Wang, Yifu Huo, Yang Gan et al.
Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor Processing
Fengying Ye, Shanshan Wang, Lidia S. Chao et al.
Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model
Xuankun Rong, Wenke Huang, Wenzheng Jiang et al.
Probing the Safety Robustness of LLMs in Latent Space
Tianle Gu, Kexin Huang, Zongqi Wang et al.
ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias
Rik Adriaensen, Lucas Van Praet, Jessa Bekker et al.
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
Fanpu Cao, Yaofo Chen, Zeng You et al.
ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting
Jiaqi Xue, Hongji Dong, Yucen Gao et al.
Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport
Syed Ahmed Mahmood, Ali Shah Ali, Umer Ahmed et al.
Process Evaluation for Agentic Systems
Milan Gritta, Debjit Paul, Xiaoguang Li et al.
Processing Inconsistency Predicts Language Competence: LLM Evaluation Without Answer Labels on Turkic Languages
Ilya Galyukshev, Ilseyar Alimova
Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards
Raffaele Pisano, Roberto Navigli
ProCrop: Learning Aesthetic Image Cropping from Professional Compositions
Ke Zhang, Tianyu Ding, Jiachen Jiang et al.
ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory Distillation
Jiangyuan Wang, Kejun Xiao, Huaipeng Zhao et al.
ProEthica: A Professional Role Based Ethical Analysis Tool Using LLM-Orchestrated, Ontology Supported Case Based Reasoning
Christopher B. Rauch, Rosina O. Weber
Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation
Huachen Qi, Ruiyu Zhuo, Bowen Shi et al.