Machine Learning

ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation CVPR 2025 A Dual Contrastive Learning Framework for Enhanced Hate Speech Detection in Low-Resource Languages COLING 2025 A Dual Contrastive Learning Framework for Enhanced Multimodal Conversational Emotion Recognition COLING 2025 A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability ACL 2025 Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking COLING 2025 Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey ACL 2025 Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models ACL 2025 Advancing Arabic Diacritization: Improved Datasets, Benchmarking, and State-of-the-Art Models EMNLP 2025 Advancing Audio-Based Text Generation with Imbalance Preference Optimization AAAI 2025 Advancing Chart Question Answering with Robust Chart Component Recognition WACV 2025 Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion IJCAI 2025 Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning AAAI 2025 Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations ICML 2025 Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs EMNLP 2025 Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data AISTATS 2025 Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models EMNLP 2025 Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models CVPR 2025 Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks IJCAI 2025 Advancing Graph Generation through Beta Diffusion ICLR 2025 Advancing Language Models through Instruction Tuning: Recent Progress and Challenges EMNLP 2025 Advancing LLM Reasoning Generalists with Preference Trees ICLR 2025 Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution AAAI 2025 Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM AAAI 2025 Advancing Multilingual Speaker Identification and Verification for Indo-Aryan and Dravidian Languages COLING 2025 Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging CVPR 2025