Application Areas

What is it? Towards a Generalizable Native American Language Identification System NAACL 2025 What Kind of Visual Tokens Do We Need? Training-Free Visual Token Pruning for Multi-Modal Large Language Models from the Perspective of Graph AAAI 2025 What Limits Bidirectional Model’s Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning ICML 2025 What Makes a Good Dataset for Knowledge Distillation? CVPR 2025 What Makes for Text to 360-degree Panorama Generation with Stable Diffusion? ICCV 2025 What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization ICCV 2025 What’s Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs EMNLP 2025 What the #?*!: Disentangling Hate Across Target Identities NAACL 2025 What to Distill? Fast Knowledge Distillation with Adaptive Sampling ICCV 2025 What You Read Isn’t What You Hear: Linguistic Sensitivity in Deepfake Speech Detection EMNLP 2025 Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics CoRL 2025 When and How Does CLIP Enable Domain and Compositional Generalization? ICML 2025 When and Where do Data Poisons Attack Textual Inversion? ICCV 2025 When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs EMNLP 2025 When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather WACV 2025 When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits ACL 2025 When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text ACL 2025 When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach CVPR 2025 When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration ICML 2025 When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network ICML 2025 When Every Token Counts: Optimal Segmentation for Low-Resource Language Models COLING 2025 When GNNs meet symmetry in ILPs: an orbit-based feature augmentation approach ICLR 2025 When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs ACL 2025 When Life Gives You Samples: The Benefits of Scaling up Inference Compute for Multilingual LLMs EMNLP 2025 When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack ICCV 2025