most citedEnhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement

3 citations · 3 across the 3 of their papers we have counts for

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cs.CL2024

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models

Aofei Chang, Jiaqi Wang, Han Liu +4

Parameter Efficient Fine-Tuning (PEFT) offers an efficient solution for fine-tuning large pretrained language models for downstream tasks. However, most PEFT strategies are manuall…

cs.CL2024

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting

Zhepeng Wang, Runxue Bao, Yawen Wu +6

Pretrained large language models (LLMs) have revolutionized natural language processing (NLP) tasks such as summarization, question answering, and translation. However, LLMs pose s…