Papers
UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity
Ning Shi, Senyu Li, Guoqing Luo et al.
UCSC NLP at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)
Neng Wan, Steven Au, Esha Ubale et al.
UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle
Yutao Mou, Kexiang Wang, Jianhe Lin et al.
UGIF-DataSet: A New Dataset for Cross-lingual, Cross-modal Sequential actions on the UI
Sagar Gubbi Venkatesh, Partha Talukdar, Srini Narayanan
UIC NLP GRADS at SemEval-2024 Task 3: Two-Step Disjoint Modeling for Emotion-Cause Pair Extraction
Sharad Chandakacherla, Vaibhav Bhargava, Natalie Parde
UICoder: Finetuning Large Language Models to Generate User Interface Code through Automated Feedback
Jason Wu, Eldon Schoop, Alan Leung et al.
UINav: A Practical Approach to Train On-Device Automation Agents
Wei Li, Fu-Lin Hsu, William Bishop et al.
UIR-ISC at SemEval-2024 Task 3: Textual Emotion-Cause Pair Extraction in Conversations
Hongyu Guo, Xueyao Zhang, Yiyang Chen et al.
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla et al.
UMBCLU at SemEval-2024 Task 1: Semantic Textual Relatedness with and without machine translation
Shubhashis Roy Dipta, Sai Vallurupalli
UMUTeam at SemEval-2024 Task 10: Discovering and Reasoning about Emotions in Conversation using Transformers
Ronghao Pan, José Antonio García-díaz, Diego Roldán et al.
UMUTeam at SemEval-2024 Task 4: Multimodal Identification of Persuasive Techniques in Memes through Large Language Models
Ronghao Pan, José Antonio García-díaz, Rafael Valencia-garcía
UMUTeam at SemEval-2024 Task 6: Leveraging Zero-Shot Learning for Detecting Hallucinations and Related Observable Overgeneration Mistakes
Ronghao Pan, José Antonio García-díaz, Tomás Bernal-beltrán et al.
UMUTeam at SemEval-2024 Task 8: Combining Transformers and Syntax Features for Machine-Generated Text Detection
Ronghao Pan, José Antonio García-díaz, Pedro José Vivancos-vicente et al.
Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation
Maria Mora-Cross, Saul Calderon-Ramirez
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
Jianfeng He, Linlin Yu, Shuo Lei et al.
Uncertainty Quantification for In-Context Learning of Large Language Models
Chen Ling, Xujiang Zhao, Xuchao Zhang et al.
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
Wenting Zhao, Justin T. Chiu, Jena D. Hwang et al.
Understanding Position Bias Effects on Fairness in Social Multi-Document Summarization
Olubusayo Olabisi, Ameeta Agrawal
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
Siqi Shen, Lajanugen Logeswaran, Moontae Lee et al.
UNED team at BEA 2024 Shared Task: Testing different Input Formats for predicting Item Difficulty and Response Time in Medical Exams
Alvaro Rodrigo, Sergio Moreno-Álvarez, Anselmo Peñas
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
Chenming Tang, Fanyi Qu, Yunfang Wu
UniArk: Improving Generalisation and Consistency for Factual Knowledge Extraction through Debiasing
Yijun Yang, Jie He, Pinzhen Chen et al.
UniBuc at SemEval-2024 Task 2: Tailored Prompting with Solar for Clinical NLI
Marius Micluta-Campeanu, Claudiu Creanga, Ana-maria Bucur et al.
UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
Ana-Cristina Rogoz, Radu Tudor Ionescu