Papers
PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR
James Burgess, Jan N. Hansen, Duo Peng et al.
PAR2-RAG: Planned Active Retrieval and Reasoning for Multi-Hop Question Answering
Xingyu Li, Rongguang Wang, Yuying Wang et al.
PaRaChute: Pathology-Radiology Cross-Modal Fusion for Missing-Modality-Robust Survival Prediction
Pietro Caforio, Isabella Poles, Marco D. Santambrogio
ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation
Erel Kaplan, Tomer Bitan, Lian Ghrayeb et al.
ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models
Zhixin Ou, Peng Liang, Linbo Qiao et al.
Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization
Xin Chen, Chunfeng Cui, Deren Han et al.
Parallel Test-Time Scaling for Latent Reasoning Models
Runyang You, Yongqi Li, Meng Liu et al.
Parallel Training Time-to-First-Spike Spiking Neural Networks
Kaiwei Che, Wei Fang, Peng Xue et al.
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation
Qianli Wang, Van Bach Nguyen, Yihong Liu et al.
Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian Languages
Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya
ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech
Haowei Lou, Hye-young Paik, Wen Hu et al.
Parameter-Efficient Adaptation of Self-Supervised Models for Arabic Speech Recognition
Wafa Mohammed Alshehri, Wasfi G. Al-khatib, Mohammad Ismail Amro
Parameter-Efficient Quality Estimation via Frozen Recursive Models
Umar Abubacar, Roman Bauer, Diptesh Kanojia
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
Yilun Liu, Yunpu Ma, Yuetian Lu et al.
Parameter-Free Clustering via Self-Supervised Consensus Maximization
Lijun Zhang, Suyuan Liu, Siwei Wang et al.
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
Jiahuan Long, Tingsong Jiang, Wen Yao et al.
Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning
Ankur Naskar, Gugan Thoppe, Vijay Gupta
Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning
Zekai Lin, Chao Xue, Di Liang et al.
Parameterized Abstract Interpretation for Transformer Verification
Pei Huang, Dennis Wei, Omri Isac et al.
Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation
Haiming Yao, Wei Luo, Qiyu Chen et al.
Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning
Benliu Qiu, Heqian Qiu, Lanxiao Wang et al.
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Ji Cheng, Bo Xue, Qingfu Zhang
Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement
Ziyue Yan, Hongying Zan, Xinglin Lyu et al.
PARASITE: Conditional System Prompt Poisoning to Hijack LLMs
Viet Pham, Thai Le
ParaSuite: Boosting LLM Reasoning via Paradox Resolution
Bin Chen, Yu Zhang, Hongfei Ye et al.