Papers
“What is the value of templates?” Rethinking Document Information Extraction Datasets for LLMs
Ran Zmigrod, Pranav Shetty, Mathieu Sibue et al.
What is “Typological Diversity” in NLP?
Esther Ploeger, Wessel Poelman, Miryam de Lhoneux et al.
What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models
Xin Zhao, Naoki Yoshinaga, Daisuke Oba
What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs
Anna Wegmann, Tijs A. Van Den Broek, Dong Nguyen
What’s under the hood: Investigating Automatic Metrics on Meeting Summarization
Frederic Kirstein, Jan Philip Wahle, Terry Ruas et al.
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
Beatrice Savoldi, Sara Papi, Matteo Negri et al.
What Would Happen Next? Predicting Consequences from An Event Causality Graph
Chuanhong Zhan, Wei Xiang, Liang Chao et al.
When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran et al.
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context
Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton et al.
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
Weilan Wang, Yu Mao, Tang Dongdong et al.
When Context Leads but Parametric Memory Follows in Large Language Models
Yufei Tao, Adam Hiatt, Erik Haake et al.
When Generative Adversarial Networks Meet Sequence Labeling Challenges
Yu Tong, Ge Chen, Guokai Zheng et al.
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages
Tyler A. Chang, Catherine Arnett, Zhuowen Tu et al.
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
Xiangyu Zhang, Hexin Liu, Kaishuai Xu et al.
When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models
Ting-Yun Chang, Jesse Thomason, Robin Jia
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
Yanjun Gao, Skatje Myers, Shan Chen et al.
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives
Yebowen Hu, Kaiqiang Song, Sangwoo Cho et al.
When the Misidentified Adverbial Phrase Functions as a Complement
Yige Chen, Kyuwon Kim, KyungTae Lim et al.
Where Am I From? Identifying Origin of LLM-generated Content
Liying Li, Yihan Bai, Minhao Cheng
Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts
Seonmin Koo, Jinsung Kim, YoungJoon Jang et al.
Where is the signal in tokenization space?
Renato Geh, Honghua Zhang, Kareem Ahmed et al.
Where Visual Speech Meets Language: VSP-LLM Framework for Efficient and Context-Aware Visual Speech Processing
Jeonghun Yeo, Seunghee Han, Minsu Kim et al.
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella et al.
Which questions should I answer? Salience Prediction of Inquisitive Questions
Yating Wu, Ritika Mangla, Alexandros G. Dimakis et al.