Papers by Zhongzhi Luan
Scaling Sentence Embeddings with Large Language Models (2024.findings-emnlp)
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| Challenge: | Current methods based on contrastive learning have generated high-quality sentence embeddings. |
| Approach: | They propose a method to enhance LLM performance on sentence embeddings with a one-word limitation. |
| Outcome: | The proposed method outperforms contrastive learning methods on sentence embeddings without fine-tuning and with fine-untun. |
On Domain-Adaptive Post-Training for Multimodal Large Language Models (2025.findings-emnlp)
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Daixuan Cheng, Shaohan Huang, Ziyu Zhu, Xintong Zhang, Xin Zhao, Zhongzhi Luan, Bo Dai, Zhenliang Zhang
| Challenge: | Adapting general multimodal large language models to specific domains is important for practical applications. |
| Approach: | They investigate domain adaptation of multimodal large language models via post-training . they develop a generate-then-filter pipeline that curates diverse visual instruction tasks . |
| Outcome: | The proposed model outperforms existing models in domain adaptation by combining data from open-source models with training pipelines. |