Papers
Women Are Beautiful, Men Are Leaders: Gender Stereotypes in Machine Translation and Language Modeling
Matúš Pikuliak, Stefan Oresko, Andrea Hrckova et al.
Word Alignment as Preference for Machine Translation
Qiyu Wu, Masaaki Nagata, Zhongtao Miao et al.
Word-Conditioned 3D American Sign Language Motion Generation
Lu Dong, Xiao Wang, Ifeoma Nwogu
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
Layla Bouzoubaa, Elham Aghakhani, Rezvaneh Rezapour
Words That Stick: Using Keyword Cohesion to Improve Text Segmentation
Amit Maraj, Miguel Vargas Martin, Masoud Makrehchi
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation
Raphael Tang, Crystina Zhang, Lixinyu Xu et al.
Working Memory Identifies Reasoning Limits in Language Models
Chunhui Zhang, Yiren Jian, Zhongyu Ouyang et al.
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
Jiacong Wang, Bohong Wu, Haiyong Jiang et al.
WorryWords: Norms of Anxiety Association for over 44k English Words
Saif M. Mohammad
WPO: Enhancing RLHF with Weighted Preference Optimization
Wenxuan Zhou, Ravi Agrawal, Shujian Zhang et al.
Wrapper Boxes for Faithful Attribution of Model Predictions to Training Data
Yiheng Su, Junyi Jessy Li, Matthew Lease
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information
Yongheng Zhang, Qiguang Chen, Jingxuan Zhou et al.
XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
Joao Monteiro, Étienne Marcotte, Pierre-Andre Noel et al.
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics
Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov et al.
XDetox: Text Detoxification with Token-Level Toxicity Explanations
Beomseok Lee, Hyunwoo Kim, Keon Kim et al.
Xinference: Making Large Model Serving Easy
Weizheng Lu, Lingfeng Xiong, Feng Zhang et al.
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
Zichen Chen, Jianda Chen, Ambuj Singh et al.
XRec: Large Language Models for Explainable Recommendation
Qiyao Ma, Xubin Ren, Chao Huang
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors
Marcos V Treviso, Nuno M Guerreiro, Sweta Agrawal et al.
***YesBut***: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models
Abhilash Nandy, Yash Agarwal, Ashish Patwa et al.
Yes-MT’s Submission to the Low-Resource Indic Language Translation Shared Task in WMT 2024
Yash Bhaskar, Parameswari Krishnamurthy
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
Huy Nghiem, John Prindle, Jieyu Zhao et al.
You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions
Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay et al.
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering
Francesco Maria Molfese, Simone Conia, Riccardo Orlando et al.
Zero-Resource Hallucination Prevention for Large Language Models
Junyu Luo, Cao Xiao, Fenglong Ma