Artificial Intelligence

MissionGNN: Hierarchical Multimodal GNN-Based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation WACV 2025 MissRAG: Addressing the Missing Modality Challenge in Multimodal Large Language Models ICCV 2025 MiSTR: Multi-Modal iEEG-to-Speech Synthesis with Transformer-Based Prosody Prediction and Neural Phase Reconstruction Interspeech 2025 MistSense: Versatile Online Detection of Procedural and Execution Mistakes ICCV 2025 Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel ACL 2025 Mitigate the Gap: Improving Cross-Modal Alignment in CLIP ICLR 2025 Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning Interspeech 2025 Mitigating Biases in Language Models via Bias Unlearning EMNLP 2025 Mitigating Bias in Machine Learning: A Comprehensive Review and Novel Approaches AAAI 2025 Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025 Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination ICCV 2025 Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking ACL 2025 Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement AAAI 2025 Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning EMNLP 2025 Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization NAACL 2025 Mitigating Hallucination by Integrating Knowledge Graphs into LLM Inference – a Systematic Literature Review ACL 2025 Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information Flow EMNLP 2025 Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization ACL 2025 Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow AAAI 2025 Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations EMNLP 2025 Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key CVPR 2025 Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization EMNLP 2025 Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding NAACL 2025 Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets EMNLP 2025 Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding NAACL 2025