Papers
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large Documents
Leyi Pan, Aiwei Liu, Yijian Lu et al.
Wav2Prompt: End-to-End Speech Prompt Learning and Task-based Fine-tuning for Text-based LLMs
Keqi Deng, Guangzhi Sun, Phil Woodland
WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow Matching
Tianze Luo, Xingchen Miao, Wenbo Duan
WebQuality: A Large-scale Multi-modal Web Page Quality Assessment Dataset with Multiple Scoring Dimensions
Tao Zhang, Yige Wang, Hangyu Zhu et al.
Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference
Go Kamoda, Benjamin Heinzerling, Tatsuro Inaba et al.
Wenzhou Dialect Speech to Mandarin Text Conversion
Zhipeng Gao, Akihiro Tamura, Tsuneo Kato
We’re Calling an Intervention: Exploring Fundamental Hurdles in Adapting Language Models to Nonstandard Text
Aarohi Srivastava, David Chiang
West Germanic noun-noun compounds and the morphology-syntax trade-off
Pablo Mosteiro, Damián Blasi, Denis Paperno
What can Large Language Models Capture about Code Functional Equivalence?
Nickil Maveli, Antonio Vergari, Shay B Cohen
What Did I Do Wrong? Quantifying LLMs’ Sensitivity and Consistency to Prompt Engineering
Federico Errica, Davide Sanvito, Giuseppe Siracusano et al.
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation
Michal Golovanevsky, William Rudman, Vedant Palit et al.
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
Lindia Tjuatja, Graham Neubig, Tal Linzen et al.
What is it? Towards a Generalizable Native American Language Identification System
Ivory Yang, Weicheng Ma, Carlos Guerrero Alvarez et al.
What Is Missing in Multilingual Visual Reasoning and How to Fix It
Yueqi Song, Simran Khanuja, Graham Neubig
What the #?*!: Disentangling Hate Across Target Identities
Yiping Jin, Leo Wanner, Aneesh Moideen Koya
What to Predict? Exploring How Sentence Structure Influences Contrast Predictions in Humans and Large Language Models
Shuqi Wang, Xufeng Duan, Zhenguang Cai
What We Talk About When We Talk About LMs: Implicit Paradigm Shifts and the Ship of Language Models
Shengqi Zhu, Jeffrey Rzeszotarski
When2Call: When (not) to Call Tools
Hayley Ross, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara
When and How to Augment Your Input: Question Routing Helps Balance the Accuracy and Efficiency of Large Language Models
Shufan Chen, He Zheng, Lei Cui
When Less Is More: Logits-Constrained Framework with RoBERTa for Ancient Chinese NER
Wenjie Hua, Shenghan Xu
When Men Bite Dogs: Testing Good-Enough Parsing in Turkish with Humans and Large Language Models
Onur Keleş, Nazik Dinctopal Deniz
When Multilingual Models Compete with Monolingual Domain-Specific Models in Clinical Question Answering
Vojtech Lanz, Pavel Pecina
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning
Leonardo Ranaldi, Barry Haddow, Alexandra Birch
WHEN TOM EATS KIMCHI: Evaluating Cultural Awareness of Multimodal Large Language Models in Cultural Mixture Contexts
Jun Seong Kim, Kyaw Ye Thu, Javad Ismayilzada et al.
Where and How Do Languages Mix? A Study of Spanish-Guaraní Code-Switching in Paraguay
Olga Kellert, Nemika Tyagi