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Papers
Pruning the Paradox: How CLIP’s Most Informative Heads Enhance Performance While Amplifying Bias
EMNLP 2025
Multi-Frequency Contrastive Decoding: Alleviating Hallucinations for Large Vision-Language Models
EMNLP 2025
LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
EMNLP 2025