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cs.CL2024★ 1 cited
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
Jinghan He, Kuan Zhu, Haiyun Guo +6
Large vision-language models (LVLMs) have made substantial progress in integrating large language models (LLMs) with visual inputs, enabling advanced multimodal reasoning. Despite…
cs.CL2024
Neuron-Level Sequential Editing for Large Language Models
Houcheng Jiang, Junfeng Fang, Tianyu Zhang +4
This work explores sequential model editing in large language models (LLMs), a critical task that involves modifying internal knowledge within LLMs continuously through multi-round…