Papers
UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions
Xiaoquan Yi, Haixing Wu, Haozhao Wang et al.
UM–ProtoShare: UNet-Guided, Multi-scale Shared Prototypes for Interpretable Brain Tumour Classification Using Multi-sequence 3D MRI
Ali Golbaf, Vivek Singh, Swen Gaudl et al.
UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing
Lichen Ma, Xiaolong Fu, GaojingZhou et al.
Unaligned UAV RGBT Tracking: A Largescale Benchmark and a Novel Approach
Yun Xiao, Yuhang Wang, Jiandong Jin et al.
Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
Qiyu Qin, Yichen Li, Haozhao Wang et al.
Uncertainty-aware Cycle Diffusion Model for Fair Glaucoma Diagnosis
Ziheng Wang, Shuran Yang, Yan Lin et al.
Uncertainty-Aware Routing for Principled Alignment with MoE Dynamics
Yilong Chen, Junyuan Shang, Yuchen Feng et al.
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
Madhav Gupta, Vishak Prasad, Ganesh Ramakrishnan
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
Linlin Yu, Xujiang Zhao, Dong Li et al.
Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
Aryan Das, Tanishq Rachamalla, Koushik Biswas et al.
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning
Jiuzhou Han, Wray Buntine, Ehsan Shareghi
Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification
Li Lv, Qian Guo, Li Zhang et al.
Uncertainty-Propelled Physics-MAE Fusion for Self-Supervised Diffusion-Weighted Image Denoising
Zeyu Deng, Lihui Wang, Xi Tao et al.
Uncertainty Quantification for Evaluating Gender Bias in Machine Translation
Ieva Staliunaite, Julius Cheng, Andreas Vlachos
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
Paul Hofman, Yusuf Sale, Eyke Hüllermeier
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
Changdae Oh, Seongheon Park, To Eun Kim et al.
Unconditional Priors Matter! Improving Conditional Generation of Fine-Tuned Diffusion Models
Prin Phunyaphibarn, Phillip Y. Lee, Jaihoon Kim et al.
Uncovering and Aligning Anomalous Attention Heads to Defend Against NLP Backdoor Attacks
Haotian Jin, Yang Li, Haihui Fan et al.
Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics
Lixin Jia, Haiyang Sun, Zhiqing Guo et al.
Uncovering and Mitigating Transient Blindness in Multimodal Model Editing
XiaoQi Han, Ru Li, Ran Yi et al.
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
Khadija Zanna, Akane Sano
Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
Paul He, Yinya Huang, Mrinmaya Sachan et al.
Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction
Xingwang Li, Fei Teng, Xin Wu et al.
Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants
Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon et al.
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach
Yuanheng Li, Zhuoyang Chen, Xiaoyun Liu et al.