Papers
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing
Zhilin Wang, Yafu Li, Jianhao Yan et al.
Unveiling Confirmation Bias in Chain-of-Thought Reasoning
Yue Wan, Xiaowei Jia, Xiang Lorraine Li
Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension
Amir Hossein Yari, Fajri Koto
Unveiling Dual Quality in Product Reviews: An NLP-Based Approach
Rafał Poświata, Marcin Michał Mirończuk, Sławomir Dadas et al.
Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View
Yanran Wu, Inez Hua, Yi Ding
Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders
Boyi Deng, Yu Wan, Baosong Yang et al.
Unveiling Privacy Risks in LLM Agent Memory
Bo Wang, Weiyi He, Shenglai Zeng et al.
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
Tiejin Chen, Pingzhi Li, Kaixiong Zhou et al.
Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning
Xinghao Chen, Zhijing Sun, Guo Wenjin et al.
Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward
Zhiyuan Fan, Yumeng Wang, Sandeep Polisetty et al.
Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models
Yisheng Xiao, Juntao Li, Wenpeng Hu et al.
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
Boxuan Lyu, Hidetaka Kamigaito, Kotaro Funakoshi et al.
Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval
Hao Sun, Yingyan Hou, Jiayan Guo et al.
UoB-NLP at SemEval-2025 Task 11: Leveraging Adapters for Multilingual and Cross-Lingual Emotion Detection
Frances Adriana Laureano De Leon, Yixiao Wang, Yue Feng et al.
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models
Xueyan Zhang, Jinman Zhao, Zhifei Yang et al.
UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation
Thanet Markchom, Tong Wu, Liting Huang et al.
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging
Tingfeng Hui, Zhenyu Zhang, Shuohuan Wang et al.
UPSC2M: Benchmarking Adaptive Learning from Two Million MCQ Attempts
Kevin Shi, Karttikeya Mangalam
UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging
Huaizhi Qu, Xinyu Zhao, Jie Peng et al.
UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces
Baining Zhao, Jianjie Fang, Zichao Dai et al.
USDC: A Dataset of ̲User ̲Stance and ̲Dogmatism in Long ̲Conversations
Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni et al.
User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs
Sougata Saha, Monojit Choudhury
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
Jianling Wang, Yifan Liu, Yinghao Sun et al.
User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services
Qijun Miao, Zhixuan Fang
Using Humor to Bypass Safety Guardrails in Large Language Models
Pedro Cisneros-Velarde