Artificial Intelligence

Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting NAACL 2025 Mitigating Hallucinations in Vision-Language Models through Image-Guided Head Suppression EMNLP 2025 Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing ICML 2025 Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization ICLR 2025 Mitigating Interviewer Bias in Multimodal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding EMNLP 2025 Mitigating Label Length Bias in Large Language Models IJCNLP 2025 Mitigating Language Confusion through Inference-time Intervention COLING 2025 Mitigating Language Mismatch in SSL-Based Speaker Anonymization Interspeech 2025 Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering ACL 2025 Mitigating Memorization in Language Models ICLR 2025 Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality ICLR 2025 Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance ICML 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 Object Hallucinations in MLLMs via Multi-Frequency Perturbations EMNLP 2025 Mitigating Object Hallucinations via Sentence-Level Early Intervention ICCV 2025 Mitigating Paraphrase Attacks on Machine-Text Detection via Paraphrase Inversion ACL 2025 Mitigating Pervasive Modality Absence Through Multimodal Generalization and Refinement AAAI 2025 Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding ACL 2025 Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization ICLR 2025 Mitigating Selection Bias with Node Pruning and Auxiliary Options ACL 2025 Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models EMNLP 2025 Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework AAAI 2025 Mitigating Spurious Correlations in Zero-Shot Multimodal Models ICLR 2025 Mitigating Spurious Correlations via Counterfactual Contrastive Learning EMNLP 2025