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Showing 601–625 of 5387 papers

TitleStatusHype
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
OPMOS: Ordered Parallel Algorithm for Multi-Objective Shortest-Paths—0
Multi-ToM: Evaluating Multilingual Theory of Mind Capabilities in Large Language Models—0
ResCLIP: Residual Attention for Training-free Dense Vision-language InferenceCode2
FATE: Full-head Gaussian Avatar with Textural Editing from Monocular Video—0
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity—0
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep LearningCode1
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction MethodsCode0
Attributed Graph Clustering via Generalized Quaternion Representation Learning—0
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps—0
U-Motion: Learned Point Cloud Video Compression with U-Structured Temporal Context Generation—0
When Online Algorithms Influence the Environment: A Dynamical Systems Analysis of the Unintended Consequences—0
Delta-Influence: Unlearning Poisons via Influence FunctionsCode0
KAAE: Numerical Reasoning for Knowledge Graphs via Knowledge-aware Attributes Learning—0
Order is All You Need for Categorical Data Clustering—0
Joint Vision-Language Social Bias Removal for CLIPCode0
CLIC: Contrastive Learning Framework for Unsupervised Image Complexity RepresentationCode0
UMGAD: Unsupervised Multiplex Graph Anomaly Detection—0
MTFusion: Reconstructing Any 3D Object from Single Image Using Multi-word Textual Inversion—0
Attribute Inference Attacks for Federated Regression TasksCode0
Predicting User Intents and Musical Attributes from Music Discovery ConversationsCode0
Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need—0
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot LearningCode1
LLM-IE: A Python Package for Generative Information Extraction with Large Language Models—0
Unveiling the Inflexibility of Adaptive Embedding in Traffic ForecastingCode0
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