Papers
Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End?
Kebin Wu, Fatima Albreiki
Positional Cognitive Specialization: Where Do LLMs Learn to Comprehend and Speak Your Language?
Luis Frentzen Salim, Lun-Wei Ku, Hsing-Kuo Kenneth Pao
Position: Biomedical NLP Demands Specialization, Not Generalization
Azmine Toushik Wasi
Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers
Atsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo
Position Fair Mechanisms Allocating Indivisible Goods
Ryoga Mahara, Ryuhei Mizutani, Taihei Oki et al.
Position Paper: How Should We Responsibly Adopt LLMs in the Peer Review Process?
Juhwan Choi, JungMin Yun, Changhun Kim et al.
Positive Definite Sparse Covariance Estimation via Dual Space Optimization
Fengpei Li, Wenfu Xia, Ziping Zhao
PosPrune: Visual Token Pruning with Positional Bias Correction for Efficient Large Vision-Language Models
Ziyang Wang, Mengwei Li, Hao Yin et al.
Post-ASR Correction in Hindi: Comparing Language Models and Large Language Models in Low-Resource Scenarios
Rishabh Kumar, Amrith Krishna, Ganesh Ramakrishnan et al.
PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation
Jiho Choi, Seojeong Park, Seongjong Song et al.
Posterior Label Smoothing for Node Classification
Jaeseung Heo, MoonJeong Park, Dongwoo Kim
PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography
Junle Liu, Peirong Zhang, Yuyi Zhang et al.
Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis
Xinyue Li, Wang Hu, Yu Zhang
Post Training Quantization for Efficient Dataset Condensation
Linh-Tam Tran, Sung-Ho Bae
Potato 2.0: A Comprehensive Annotation Platform with AI-in-the-Loop Support
David Jurgens, Michael Chen, Lina Iyer
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm
Jiajie Su, Zihan Nan, Yunshan Ma et al.
Potential Outcome Rankings for Counterfactual Decision Making
Yuta Kawakami, Jin Tian
Powerful Training-Free Membership Inference Against Fine-Tuned Autoregressive Language Models
David Ilić, David Stanojević, Kostadin Cvejoski
Powering Verifiable Learning via Automated Evolutionary Data Synthesis
He Du, Bowen Li, Aijun Yang et al.
Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues
Tuan-Anh Vu, Hai Nguyen-Truong, Ziqiang Zheng et al.
POWSM: A Phonetic Open Whisper-Style Speech Foundation Model
Chin-Jou Li, Kalvin Chang, Shikhar Bharadwaj et al.
PPA-Plan: Proactive Pitfall Avoidance for Reliable Planning in Long-Context LLM Reasoning
Byeongjin Kim, Gyuwan Kim, Seo Yeon Park
PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning
Qianyue Cao, Zongwei Zhu, Zirui Lian et al.
PPGPT: Transferring Next-Token Modeling from Language to PPG Signals
Zexing Zhang, Huimin Lu, Qingxin Zhao