Papers
176,624 papers found
DFLOW: Diverse Dialogue Flow Simulation with Large Language Models
Wanyu Du, Song Feng, James Gung et al.
DFM: Differentiable Feature Matching for Anomaly Detection
Sheng Wu, Yimi Wang, Xudong Liu et al.
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models
Zhiheng Huang, Yannan Liu, Daojing He et al.
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis
Chen Tang, Tingrui Shen, Xinrong Gong et al.
DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation
Bo-Wen Yin, Jiao-Long Cao, Ming-Ming Cheng et al.
DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning
Miao Zhang, Jiawei Wang, Jinying Han et al.
D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models
Grace Byun, Jinho D. Choi
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Yezi Liu, Jiaxuan Xie, Yanning Shen
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
Qi Bi, Jingjun Yi, Hao Zheng et al.
DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning
Yubin Xiao, Yuesong Wu, Rui Cao et al.
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
Haonan Yuan, Qingyun Sun, Zhaonan Wang et al.
DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting
Han Yan, Dongliang Chen, Guiyuan Jiang et al.
DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads
Xiaoxi Liang, Yanbo Fan, Qiya Yang et al.
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
Feifei Qian, Lu Bai, Lixin Cui et al.
DharmaBench: Evaluating Language Models on Buddhist Texts in Sanskrit and Tibetan
Kai Golan Hashiloni, Shay Cohen, Asaf Shina et al.
DharmaBench: Evaluating Language Models on Buddhist Texts in Sanskrit and Tibetan
Kai Golan Hashiloni, Shay Cohen, Asaf Shina et al.
DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation
Donglin Di, He Feng, Wenzhang Sun et al.
DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction
Weijun Chen, Yanze Wang
DHP Benchmark: Are LLMs Good NLG Evaluators?
Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang et al.
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning
Kun Zhang, Jingyu Li, Zhe Li et al.
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
Xinya Qin, Lu Bai, Lixin Cui et al.
DIACU: A dataset for the DIAchronic analysis of Church Slavonic
Maria Cassese, Giovanni Puccetti, Marianna Napolitano et al.
DiaDP@XLLM25: Advancing Chinese Dialogue Parsing via Unified Pretrained Language Models and Biaffine Dependency Scoring
Shuoqiu Duan, Xiaoliang Chen, Duoqian Miao et al.
Diagnosing Failures in Large Language Models’ Answers: Integrating Error Attribution into Evaluation Framework
Zishan Xu, Shuyi Xie, Qingsong Lv et al.
Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time
Huihan Li, You Chen, Siyuan Wang et al.