Papers
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.
Uncovering Sentiment Analysis Circuit in Large Language Model
Shichen Li, Zhouyang Wang, Zhongqing Wang et al.
Uncovering Temporal Framing in the News
Tarek Mahmoud, Veronika Solopova, Premtim Sahitaj et al.
Under-Approximating Semantics in Clustered Assumption-Based Argumentation
Iosif Apostolakis, Johannes P. Wallner
Under-resourced studies of under-resourced languages: lemmatization and POS-tagging with LLM annotators for historical Armenian, Georgian, Greek and Syriac
Chahan Vidal-Gorène, Bastien Kindt, Florian Cafiero
Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective
Haidong Kang, Lianbo Ma, Pengjun Chen et al.
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
Miaomiao Li, Hao Chen, Yang Wang et al.
Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models
Jiayi Zhang, Shu Yang, Junchao Wu et al.
Understanding Dynamic Scenes in Ego Centric 4D Point Clouds
Junsheng Huang, Shengyu Hao, Bo-Cheng Hu et al.
Understanding Emergent Misalignment via Feature Superposition Geometry
Gouki Minegishi, Hiroki Furuta, Takeshi Kojima et al.
Understanding Generative AI Capabilities in Everyday Image Editing Tasks
Brandon Collins, Mohammad Reza Taesiri, Logan Bolton et al.
Understanding Human-Like Biases in VLMs via Subjective Face Analytics
Chaitanya Roygaga, Aparna Bharati