Papers
UI-Hawk: Unleashing the Screen Stream Understanding for Mobile GUI Agents
Jiwen Zhang, Ya-Qi Yu, Minghui Liao et al.
UIOrchestra: Generating High-Fidelity Code from UI Designs with a Multi-agent System
Chuhuai Yue, Jiajun Chai, Yufei Zhang et al.
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
Wenyu Wang, Mengqi Zhang, Xiaotian Ye et al.
ULTRABENCH: Benchmarking LLMs under Extreme Fine-grained Text Generation
Longfei Yun, Letian Peng, Jingbo Shang
UltraIF: Advancing Instruction Following from the Wild
Kaikai An, Li Sheng, Ganqu Cui et al.
Uncertain (Mis)Takes at LeWiDi-2025: Modeling Human Label Variation With Semantic Entropy
Ieva Raminta Staliūnaitė, Andreas Vlachos
Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems
Aakriti Agrawal, Rohith Aralikatti, Anirudh Satheesh et al.
Uncertainty-driven Partial Diacritization for Arabic Text
Humaid Ali Alblooshi, Artem Shelmanov, Hanan Aldarmaki
Uncertainty in Semantic Language Modeling with PIXELS
Stefania Radu, Marco Zullich, Matias Valdenegro-Toro
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
Roman Vashurin, Maiya Goloburda, Preslav Nakov et al.
UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation
Ruihan Yang, Caiqi Zhang, Zhisong Zhang et al.
UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective
Jing Xiong, Jianghan Shen, Fanghua Ye et al.
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing et al.
UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER
Jielong Tang, Yang Yang, Jianxing Yu et al.
Uncovering Argumentative Flow: A Question-Focus Discourse Structuring Framework
Yini Wang, Xian Zhou, Shengan Zheng et al.
Uncovering Factor-Level Preference to Improve Human-Model Alignment
Juhyun Oh, Eunsu Kim, Jiseon Kim et al.
Uncovering Scaling Laws for Large Language Models via Inverse Problems
Arun Verma, Zhaoxuan Wu, Zijian Zhou et al.
Uncovering the Bigger Picture: Comprehensive Event Understanding Via Diverse News Retrieval
Yixuan Tang, Yuanyuan Shi, Yiqun Sun et al.
Understanding and Enhancing Mamba-Transformer Hybrids for Memory Recall and Language Modeling
Hyunji Lee, Wenhao Yu, Hongming Zhang et al.
Understanding and Improving Information Preservation in Prompt Compression for LLMs
Weronika Łajewska, Momchil Hardalov, Laura Aina et al.
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs
Jun Bai, Minghao Tong, Yang Liu et al.
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary
Licheng Pan, Yongqi Tong, Xin Zhang et al.
Understanding GUI Agent Localization Biases through Logit Sharpness
Xingjian Tao, Yiwei Wang, Yujun Cai et al.
Understanding How CodeLLMs (Mis)Predict Types with Activation Steering
Francesca Lucchetti, Arjun Guha
Understanding How Value Neurons Shape the Generation of Specified Values in LLMs
Yi Su, Jiayi Zhang, Shu Yang et al.