Papers
Understanding Faithfulness and Reasoning of Large Language Models on Plain Biomedical Summaries
Biaoyan Fang, Xiang Dai, Sarvnaz Karimi
Understanding Higher-Order Correlations Among Semantic Components in Embeddings
Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira
Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study
Tianze Wang, Maryam Honarijahromi, Styliani Katsarou et al.
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing
Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak
Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs
Anqi Li, Yu Lu, Nirui Song et al.
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks
Yuanhao Xiong, Yixin Nie, Haotian Liu et al.
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation
Xiangyu Zhao, Yuehan Zhang, Wenlong Zhang et al.
Unified Active Retrieval for Retrieval Augmented Generation
Qinyuan Cheng, Xiaonan Li, Shimin Li et al.
Unifying Multimodal Retrieval via Document Screenshot Embedding
Xueguang Ma, Sheng-Chieh Lin, Minghan Li et al.
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
Juhwan Choi, Yeonghwa Kim, Seunguk Yu et al.
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause
Guimin Hu, Zhihong Zhu, Daniel Hershcovich et al.
UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs
Yuho Lee, Taewon Yun, Jason Cai et al.
UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition
Zhenrong Zhang, Shuhang Liu, Pengfei Hu et al.
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
Shuai Zhao, Meihuizi Jia, Anh Tuan Luu et al.
Universitat d’Alacant’s Submission to the WMT 2024 Shared Task on Translation into Low-Resource Languages of Spain
Aaron Galiano Jimenez, Víctor M. Sánchez-Cartagena, Juan Antonio Perez-Ortiz et al.
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data
Jean-Flavien Bussotti, Luca Ragazzi, Giacomo Frisoni et al.
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
Shahed Masoudian, Markus Frohmann, Navid Rekabsaz et al.
Unleashing Large Language Models’ Proficiency in Zero-shot Essay Scoring
Sanwoo Lee, Yida Cai, Desong Meng et al.
Unleashing the Potential of Large Language Models through Spectral Modulation
Peng Sun, Yao Zhu, Yunjian Zhang et al.
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
Shitian Zhao, Renrui Zhang, Xu Luo et al.
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
Zhou Zhang, Dongzeng Tan, Jiaan Wang et al.
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
Siyi Liu, Yang Li, Jiang Li et al.
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
Lifu Tu, Semih Yavuz, Jin Qu et al.
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization
Heshen Zhan, Congliang Chen, Tian Ding et al.