domain adaptation

ProtoDepth: Unsupervised Continual Depth Completion with Prototypes CVPR 2025 Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing ICML 2025 QA Analysis in Medical and Legal Domains: A Survey of Data Augmentation in Low-Resource Settings ACL 2025 QAEncoder: Towards Aligned Representation Learning in Question Answering Systems ACL 2025 QGen Studio: An Adaptive Question-Answer Generation, Training and Evaluation Platform AAAI 2025 Question Answering in Climate Adaptation for Agriculture: Model Development and Evaluation with Expert Feedback ACL 2025 R2S: Real-to-Synthetic Representation Learning for Training Speech Recognition Models on Synthetic Data Interspeech 2025 Random at GenAI Detection Task 3: A Hybrid Approach to Cross-Domain Detection of Machine-Generated Text with Adversarial Attack Mitigation COLING 2025 RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models ICLR 2025 RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation ICLR 2025 Realistic Test-Time Adaptation of Vision-Language Models CVPR 2025 Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance EMNLP 2025 Reasoning Enhanced Missing Knowledge Retrieval Augmented Generation Framework for Domain Specific Question Answering IJCNLP 2025 Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning AAAI 2025 ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training WACV 2025 RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services EMNLP 2025 Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval ACL 2025 ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models AAAI 2025 Retaining and Enhancing Pre-Trained Knowledge in Vision-Language Models with Prompt Ensembling WACV 2025 Rethinking-based Code Summarization with Chain of Comments COLING 2025 Rethinking High-speed Image Reconstruction Framework with Spike Camera AAAI 2025 Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark EMNLP 2025 Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination AAAI 2025 Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models ACL 2025 Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling ICLR 2025