Papers
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
Biao Gong, Shuai Tan, Yutong Feng et al.
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale
Haozhe Zhao, Xiaojian Ma, Liang Chen et al.
Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction
Sebastian Prillo, Wilson Wu, Yun S. Song
UltraMedical: Building Specialized Generalists in Biomedicine
Kaiyan Zhang, Sihang Zeng, Ermo Hua et al.
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks
Jingjing Ren, Wenbo Li, Haoyu Chen et al.
UMB: Understanding Model Behavior for Open-World Object Detection
Xing Xi, Yangyang Huang, Zhijie Zhong et al.
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
Jiachen Liang, Ruibing Hou, Minyang Hu et al.
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
Kangning Liu, Brian Price, Jason Kuen et al.
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
Rui Yang, Jie Wang, Guoping Wu et al.
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
Zhiyuan Hu, Chumin Liu, Xidong Feng et al.
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast
Chufan Shi, Cheng Yang, Xinyu Zhu et al.
Unconditional stability of a recurrent neural circuit implementing divisive normalization
Shivang Rawat, David J. Heeger, Stefano Martiniani
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
Rui Min, Zeyu Qin, Nevin L. Zhang et al.
Uncovering Safety Risks of Large Language Models through Concept Activation Vector
Zhihao Xu, Ruixuan Huang, Changyu Chen et al.
Uncovering the Redundancy in Graph Self-supervised Learning Models
Zhibiao Wang, Xiao Wang, Haoyue Deng et al.
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
Kaike Zhang, Qi Cao, Yunfan Wu et al.
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yifan Yang et al.
Understanding and Minimising Outlier Features in Transformer Training
Bobby He, Lorenzo Noci, Daniele Paliotta et al.
Understanding Bias in Large-Scale Visual Datasets
Boya Zeng, Yida Yin, Zhuang Liu
Understanding Emergent Abilities of Language Models from the Loss Perspective
Zhengxiao Du, Aohan Zeng, Yuxiao Dong et al.
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
Xiang Li, Yixiang Dai, Qing Qu
Understanding Hallucinations in Diffusion Models through Mode Interpolation
Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton et al.
Understanding Information Storage and Transfer in Multi-Modal Large Language Models
Samyadeep Basu, Martin Grayson, Cecily Morrison et al.
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective
Akiyoshi Tomihari, Issei Sato
Understanding Model Selection for Learning in Strategic Environments
Tinashe Handina, Eric Mazumdar