Papers
Dataset Ownership Verification in Contrastive Pre-trained Models
Yuechen Xie, Jie Song, Mengqi Xue et al.
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning
Ruizhe Chen, Tianze Luo, Zhiting Fan et al.
Datasets for Depression Modeling in Social Media: An Overview
Ana-Maria Bucur, Andreea Moldovan, Krutika Parvatikar et al.
Data Shapley in One Training Run
Jiachen T. Wang, Prateek Mittal, Dawn Song et al.
Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion
Yuxi Mi, Zhizhou Zhong, Yuge Huang et al.
Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning
Wassim Bouaziz, Nicolas Usunier, El-Mahdi El-Mhamdi
Data to Defense: The Role of Curation in Aligning Large Language Models Against Safety Compromise
Xiaoqun Liu, Jiacheng Liang, Luoxi Tang et al.
Data Unlearning in Diffusion Models
Silas Alberti, Kenan Hasanaliyev, Manav Shah et al.
Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
Hyunbyung Park, Sukyung Lee, Gyoungjin Gim et al.
Data Void Exploits: Tracking & Mitigation Strategies (Extended Abstract)
Miro Mannino, Junior Garcia, Reem Hazim et al.
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
Shaobo Wang, Xiangqi Jin, Ziming Wang et al.
DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation
Ziming You, Yumiao Zhang, Dexuan Xu et al.
Data with High and Consistent Preference Difference Are Better for Reward Model
Qi Lin, Hengtong Lu, Caixia Yuan et al.
Data Wrangling Task Automation Using Code-Generating Language Models
Ashlesha Akella, Krishnasuri Narayanam
Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning
Gagan Bhatia, Maxime Peyrard, Wei Zhao
DateLogicQA: Benchmarking Temporal Biases in Large Language Models
Gagan Bhatia, Ming Ze Tang, Cristina Mahanta et al.
D-Attn: Decomposed Attention for Large Vision-and-Language Model
Chia-Wen Kuo, Sijie Zhu, Fan Chen et al.
DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domains
Ruben Agazzi, Renzo Alva Principe, Riccardo Pozzi et al.
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
Weijian Luo, Colin Zhang, Debing Zhang et al.
DAViD: Data-efficient and Accurate Vision Models from Synthetic Data
Fatemeh Saleh, Sadegh Aliakbarian, Charlie Hewitt et al.
DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models
Hyeonwoo Kim, Sangwon Baik, Hanbyul Joo
David vs. Goliath: Cost-Efficient Financial QA via Cascaded Multi-Agent Reasoning
Chenghao Liu, Qian Liu, Ziqin Zhu et al.
DavIR: Data Selection via Implicit Reward for Large Language Models
Haotian Zhou, Tingkai Liu, Qianli Ma et al.
DAVIS: Planning Agent with Knowledge Graph-Powered Inner Monologue
Minh Pham Dinh, Michael G Yankoski, Munira Syed et al.
DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers
Li Ren, Chen Chen, Liqiang Wang et al.