Deep Learning

HoneyBee: Data Recipes for Vision-Language Reasoners CVPR 2026 HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection ACL 2026 HorizonForge: Driving Scene Editing with Any Trajectories and Any Vehicles CVPR 2026 HOSIG: Full-Body Human-Object-Scene Interaction Generation with Hierarchical Scene Perception AAAI 2026 Howard University-AI4PC at SemEval-2026 Task 7: Culturally Aware Multilingual Model Routing Through a Mixture-of-Specialists Framework SemEval 2026 How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions AAAI 2026 How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective ACL 2026 How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities ACL 2026 How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression? COLT 2026 How Do Inpainting Artifacts Propagate to Language? ACL 2026 How Far Can We Go With Synthetic Data for Audio-Visual Sound Source Localization? CVPR 2026 How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026 How I Met Your Bias: Investigating Bias Amplification in Diffusion Models WACV 2026 How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026 How Learning Dynamics Drive Adversarially Robust Generalization? UAI 2026 How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts AAAI 2026 How Much 3D Do Video Foundation Models Encode? CVPR 2026 How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study ACL 2026 How to Design and Train Your Implicit Neural Representation for Video Compression WACV 2026 How to Improve LLMs’ Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity ACL 2026 How to Make LMs Strong Node Classifiers? EACL 2026 How to Set β_1, β_2 in Adam: An Online Learning Perspective ALT 2026 How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models ACL 2026 How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation AAAI 2026 HP-Edit: A Human-Preference Post-Training Framework for Image Editing CVPR 2026