Application Areas

Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization EMNLP 2025 Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding NAACL 2025 Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression EMNLP 2025 Mitigating Interviewer Bias in Multimodal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding EMNLP 2025 Mitigating Memorization in Language Models ICLR 2025 Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning IJCAI 2025 Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment ICLR 2025 Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention CVPR 2025 Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment IJCAI 2025 Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification ICML 2025 Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning ICLR 2025 Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement AAAI 2025 Mitigating Scalability Walls of RDMA-based Container Networks NSDI 2025 Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models EMNLP 2025 Mitigating Shortcut Learning via Smart Data Augmentation based on Large Language Model COLING 2025 Mitigating Shortcut Learning with InterpoLated Learning ACL 2025 Mitigating Spurious Correlations in Zero-Shot Multimodal Models ICLR 2025 Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace ICLR 2025 Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation CVPR 2025 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025 Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning ACL 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge ICCV 2025 MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective ICCV 2025 Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025