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cs.CL2026
MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation
Bo Li, Ningyuan Deng, Tianyu Dong +3
Multimodal large language models (MLLMs) have shown impressive capabilities, yet they often struggle to effectively capture the fine-grained textual information within images cruci…
cs.CL2024★ 1 cited
ROME: Memorization Insights from Text, Logits and Representation
Bo Li, Qinghua Zhao, Lijie Wen
Previous works have evaluated memorization by comparing model outputs with training corpora, examining how factors such as data duplication, model size, and prompt length influence…