Papers
176,624 papers found
Do We Know What LLMs Don’t Know? A Study of Consistency in Knowledge Probing
Raoyuan Zhao, Abdullatif Köksal, Ali Modarressi et al.
Do We Need Large VLMs for Spotting Soccer Actions?
Ritabrata Chakraborty, Rajatsubhra Chakraborty, Avijit Dasgupta et al.
Do We Need Large VLMs for Spotting Soccer Actions?
Ritabrata Chakraborty, Rajatsubhra Chakraborty, Avijit Dasgupta et al.
Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings
Nathan Inkiriwang, Necva Bölücü, Garth Tarr et al.
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
Yanbo Wang, Jiyang Guan, Jian Liang et al.
Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction
Nils Constantin Hellwig, Jakob Fehle, Udo Kruschwitz et al.
Do What? Teaching Vision-Language-Action Models to Reject the Impossible
Wen-Han Hsieh, Elvis Hsieh, Dantong Niu et al.
Down the Cascades of Omethi: Hierarchical Automatic Scoring in Large-Scale Assessments
Fabian Zehner, Hyo Jeong Shin, Emily Kerzabi et al.
Do You Know About My Nation? Investigating Multilingual Language Models’ Cultural Literacy Through Factual Knowledge
Eshaan Tanwar, Anwoy Chatterjee, Michael Saxon et al.
Do Your Best and Get Enough Rest for Continual Learning
Hankyul Kang, Gregor Seifer, Donghyun Lee et al.
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models
Eman Ali, Sathira Silva, Muhammad Haris Khan
DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models
Haoyang Li, Liang Wang, Chao Wang et al.
DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Yukun Cao, LIsheng Wang, Luobin Huang
DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings
Shuya Feng, Yuan Hong
DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
Wei Huang, Anda Cheng, Zhao Zhang et al.
DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework
Henrique Morimitsu, Xiaobin Zhu, Roberto M. Cesar et al.
DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters
Daeyoung Hong, Woohwan Jung, Kyuseok Shim
DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation
Zhonghao Sun, Zhiliang Tian, Yiping Song et al.
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
Mingchen Li, Heng Fan, Song Fu et al.
DPL: Diverse Preference Learning Without A Reference Model
Abhijnan Nath, Andrey Volozin, Saumajit Saha et al.
DPLUT: Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors
Yunlong Lin, Zhenqi Fu, Kairun Wen et al.
DPMamba: Distillation Prompt Mamba for Multimodal Remote Sensing Image Classification with Missing Modalities
Yueguang Yang, Jiahui Qu, Ling Huang et al.
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models
Yanming Liu, Xinyue Peng, Yuwei Zhang et al.
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization
Amitava Das, Suranjana Trivedy, Danush Khanna et al.
DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
Junzhe Lu, Jing Lin, Hongkun Dou et al.