Papers
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
Essa Jan, Moiz Ali, Muhammad Saram Hassan et al.
Data-Driven Performance Guarantees for Classical and Learned Optimizers
Rajiv Sambharya, Bartolomeo Stellato
Data-driven Precipitation Nowcasting Using Satellite Imagery
Young-Jae Park, Doyi Kim, Minseok Seo et al.
Data Drives Unstable Hierarchical Generalization in LMs
Tian Qin, Naomi Saphra, David Alvarez-Melis
Data-Efficient 3D Visual Grounding via Order-Aware Referring
Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang
Data-Efficient Alignment in Medical Imaging via Reconfigurable Generative Networks
Divya Saxena, Jiannong Cao, Jiahao Xu et al.
Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents
Ervine Zheng, Yikuan Li, Geoffrey Jay Tso et al.
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data
Faeze Ghorbanpour, Daryna Dementieva, Alexander Fraser
Data-Efficiently Learn Large Language Model for Universal 3D Scene Perception
Zehan Wang, Haifeng Huang, Yang Zhao et al.
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs
Yizhou Ying, Geng Zhang, Cui Danxin et al.
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho et al.
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation
Xinge Ma, Jin Wang, Xuejie Zhang
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
Shuokai Pan, Gerti Tuzi, Sudarshan Sreeram et al.
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Chanhui Lee, Yeonghwan Song, Jeany Son
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
YangTian Yan, Jinyu Tian
Data Gatherer: LLM-Powered Dataset Reference Extraction from Scientific Literature
Pietro Marini, Aécio Santos, Nicole Contaxis et al.
Data Generation for Hardware-Friendly Post-Training Quantization
Lior Dikstein, Ariel Lapid, Arnon Netzer et al.
DataGen: Unified Synthetic Dataset Generation via Large Language Models
Yue Huang, Siyuan Wu, Chujie Gao et al.
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA
Giuseppe Attardi, Andrea Nelson Mauro, Daniele Sartiano
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA
Giuseppe Attardi, Andrea Nelson Mauro, Daniele Sartiano
DataHacks at PerAnsSumm 2025: LoRA-Driven Prompt Engineering for Perspective Aware Span Identification and Summarization
Vansh Nawander, Chaithra Reddy Nerella
Data Interpreter: An LLM Agent for Data Science
Sirui Hong, Yizhang Lin, Bang Liu et al.
Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation
Jonibek Mansurov, Akhmed Sakip, Alham Fikri Aji
DataMan: Data Manager for Pre-training Large Language Models
Ru Peng, Kexin Yang, Yawen Zeng et al.
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye, Peiju Liu, Tianxiang Sun et al.