Representation Learning

Can LLMs be Good Graph Judge for Knowledge Graph Construction? EMNLP 2025 Can LLMs Convert Graphs to Text-Attributed Graphs? NAACL 2025 Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding CVPR 2025 Can Role Vectors Affect LLM Behaviour? EMNLP 2025 Can Vision-Language Models Solve Visual Math Equations? EMNLP 2025 Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization Through Spare-Coding Transformer AAAI 2025 CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning ICCV 2025 Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation ICML 2025 CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025 CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment EMNLP 2025 CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding COLING 2025 CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction ICCV 2025 CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling ACL 2025 CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance ICCV 2025 CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models EMNLP 2025 CateEA: Enhancing Entity Alignment via Implicit Category Supervision COLING 2025 Category-Agnostic Neural Object Rigging CVPR 2025 Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis AAAI 2025 Causal Abstraction Inference under Lossy Representations ICML 2025 Causal Abstraction Learning based on the Semantic Embedding Principle ICML 2025 Causal Graphical Models for Vision-Language Compositional Understanding ICLR 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025 Causality-Inspired Disentanglement for Fair Graph Neural Networks IJCAI 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Causally Consistent Normalizing Flow AAAI 2025