Papers
Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent
Ethan Wilcox, Cui Ding, Giovanni Acampa et al.
Using Large Language Models to Perform MIPVU-Inspired Automatic Metaphor Detection
Sebastian Reimann, Tatjana Scheffler
Using LLM Judgements for Sanity Checking Results and Reproducibility of Human Evaluations in NLP
Rudali Huidrom, Anya Belz
Using LLMs and Preference Optimization for Agreement-Aware HateWiC Classification
Sebastian Loftus, Adrian Mülthaler, Sanne Hoeken et al.
Using NLI to Identify Potential Collocation Transfer in L2 English
Haiyin Yang, Zoey Liu, Stefanie Wulff
Using Shapley interactions to understand how models use structure
Divyansh Singhvi, Diganta Misra, Andrej Erkelens et al.
Using Subtext to Enhance Generative IDRR
Zhipang Wang, Yu Hong, Weihao Sun et al.
Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss
Zhuoang Cai, Zhenghao Li, Yang Liu et al.
UTBNLP at Semeval-2025 Task 11: Predicting Emotion Intensity with BERT and VAD-Informed Attention.
Melissa Moreno Novoa, Edwin Puertas, Juan Carlos Martinez-Santos
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench
Boxi Yu, Yuxuan Zhu, Pinjia He et al.
UTF: Under-trained Tokens as Fingerprints —— a Novel Approach to LLM Identification
Jiacheng Cai, Jiahao Yu, Yangguang Shao et al.
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection
Benjamin C. Warner, Ziqi Xu, Simon Haroutounian et al.
UT-NLP at SemEval-2025 Task 11: Evaluating Zero-Shot Capability of GPT-4o mini on Emotion Recognition via Role-Play and Contrastive Judging
Amirhossein Safdarian, Milad Mohammadi, Heshaam Faili
UTSamuel at ArchEHR-QA 2025: A Clinical Question Answering System for Responding to Patient Portal Messages Using Generative AI
Samuel Reason, Liwei Wang, Hongfang Liu et al.
UTSA-NLP at ArchEHR-QA 2025: Improving EHR Question Answering via Self-Consistency Prompting
Sara Shields-Menard, Zach Reimers, Joshua Gardner et al.
UWBa at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
Ladislav Lenc, Daniel Cífka, Jiri Martinek et al.
UZH at SemEval-2025 Task 3: Token-Level Self-Consistency for Hallucination Detection
Michelle Wastl, Jannis Vamvas, Rico Sennrich
VADE: Visual Attention Guided Hallucination Detection and Elimination
Vishnu Prabhakaran, Purav Aggarwal, Vinay Kumar Verma et al.
V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning
Zongyu Lin, Zhikun Xu, Xiaohan Song et al.
Value Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs’ Value Evaluation
Jing Yao, Xiaoyuan Yi, Shitong Duan et al.
Value Portrait: Assessing Language Models’ Values through Psychometrically and Ecologically Valid Items
Jongwook Han, Dongmin Choi, Woojung Song et al.
Value Residual Learning
Zhanchao Zhou, Tianyi Wu, Zhiyun Jiang et al.
Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
Jingxuan Li, Yuning Yang, Shengqi Yang et al.
VAQUUM: Are Vague Quantifiers Grounded in Visual Data?
Hugh Mee Wong, Rick Nouwen, Albert Gatt
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs
Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary et al.