Papers
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
Yu Hua, Weiming Liu, Gui Xu et al.
Detoxifying Large Language Models via the Diversity of Toxic Samples
Ying Zhao, Yuanzhao Guo, Xuemeng Weng et al.
Detoxify-IT: An Italian Parallel Dataset for Text Detoxification
Viola De Ruvo, Arianna Muti, Daryna Dementieva et al.
DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization
Yasir Khan, Xinlei Wu, Sangpil Youm et al.
DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance Fields
Boyu Zhang, Zheng Zhu, Wenbo Xu
DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning
Raymond Li, Yuxi Feng, Zhenan Fan et al.
Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models
Jiyue Jiang, Alfred Kar Yin Truong, Yanyu Chen et al.
Developing an Informal-Formal Persian Corpus: Highlighting the Differences between Two Writing Styles
Vahide Tajalli, Mehrnoush Shamsfard, Fateme Kalantari
Developing a Postgraduate Program for AI in Medicine with Kern’s Six-Step Curriculum Development Approach in Singapore
Chang Cai, Michelle Jong, Yih Yng Ng et al.
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service
Song Wang, Xun Wang, Jie Mei et al.
Developing a Universal Dependencies Treebank for Ukrainian Parliamentary Speech
Maria Shvedova, Arsenii Lukashevskyi, Andriy Rysin
Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business Course
Dailin Zheng, Yu Chen, Yee Kit Chan et al.
Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case
Ji Won Kim, Jae Hong Park, Yuri Anna Kim et al.
Developing Japanese CLIP Models Leveraging an Open-weight LLM for Large-scale Dataset Translation
Issa Sugiura, Shuhei Kurita, Yusuke Oda et al.
Developing multilingual speech synthesis system for Ojibwe, Mi’kmaq, and Maliseet
Shenran Wang, Changbing Yang, Michael l Parkhill et al.
Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition
Masato Mita, Ryo Yoshida, Yohei Oseki
Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models
Taku Sakamoto, Saku Sugawara, Akiko Aizawa
Development of Pre-Trained Transformer-based Models for the Nepali Language
Prajwal Thapa, Jinu Nyachhyon, Mridul Sharma et al.
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games
Yixuan Even Xu, Zhe Feng, Fei Fang
Device-Cloud Collaborative Correction for On-Device Recommendation
Tianyu Zhan, Shengyu Zhang, Zheqi Lv et al.
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models
Rafal Karczewski, Markus Heinonen, Vikas K Garg
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
Kyungmin Jo, Jooyeol Yun, Jaegul Choo