Papers
What an Elegant Bridge: Multilingual LLMs are Biased Similarly in Different Languages
Viktor Mihaylov, Aleksandar Shtedritski
What are the Generator Preferences for End-to-end Task-Oriented Dialog System?
Wanshi Xu, Xianwei Zhuang, Zhanpeng Chen et al.
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning
Akshay Paruchuri, Jake Garrison, Shun Liao et al.
What do Large Language Models Need for Machine Translation Evaluation?
Shenbin Qian, Archchana Sindhujan, Minnie Kabra et al.
What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models
Junho Kim, Kim Yeonju, Yong Man Ro
What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations
Kavya Manohar, Leena G Pillai
“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.