Machine Learning

Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization EMNLP 2025 Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them EMNLP 2025 Exploring the Impact of Instruction-Tuning on LLM’s Susceptibility to Misinformation ACL 2025 Exploring the Impacts of Feature Fusion Strategy in Multi-modal Entity Alignment COLING 2025 Exploring the Limitations of Detecting Machine-Generated Text COLING 2025 Exploring the Limitations of Mamba in COPY and CoT Reasoning EMNLP 2025 Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality ICLR 2025 Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint IJCAI 2025 Exploring the Potential of Large Language Models for Heterophilic Graphs NAACL 2025 Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval AAAI 2025 Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis ACL 2025 Exploring the Relationship Between Samples and Masks for Robust Defect Localization AAAI 2025 Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks COLING 2025 Exploring the Stability Gap in Continual Learning: The Role of the Classification Head WACV 2025 Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant IJCAI 2025 Exploring The Visual Feature Space for Multimodal Neural Decoding ICCV 2025 Exploring Topological Properties in Artificial Neural Networks AAAI 2025 Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning IJCAI 2025 Exploring Transliteration-Based Zero-Shot Transfer for Amharic ASR ACL 2025 Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing AAAI 2025 Exploring Vacant Classes in Label-Skewed Federated Learning AAAI 2025 Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement ICCV 2025 Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding ICML 2025 Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models CVPR 2025 Exploring Weather-aware Aggregation and Adaptation for Semantic Segmentation under Adverse Conditions ICCV 2025