diff --git a/README.md b/README.md
index 6406d4d7..15431efc 100644
--- a/README.md
+++ b/README.md
@@ -67,6 +67,14 @@ Related Codes:
 - By topic: [doc/awesome_papers.md](/doc/awesome_paper.md)
 - By date: [doc/awesome_paper_date.md](/doc/awesome_paper_date.md)
 
+*Updated at 2024-04-18:*
+
+- DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series [[arxiv](https://arxiv.org/abs/2404.11269)]
+  - Domain adaptation for anomaly detection 使用域自适应进行时间序列异常检测
+
+- CVPR'24 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models [[arxiv](https://arxiv.org/abs/2404.11207)]
+  - Explore the transferability of visual prompting for multimodal LLM 探索多模态大模型visual prompt tuning的可迁移性
+
 *Updated at 2024-04-16:*
 
 - DGMamba: Domain Generalization via Generalized State Space Model [[arXiv](https://arxiv.org/abs/2404.07794)]
diff --git a/doc/awesome_paper.md b/doc/awesome_paper.md
index b11d4341..d053a290 100644
--- a/doc/awesome_paper.md
+++ b/doc/awesome_paper.md
@@ -175,6 +175,9 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 
 ## Per-training/Finetuning
 
+- CVPR'24 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models [[arxiv](https://arxiv.org/abs/2404.11207)]
+  - Explore the transferability of visual prompting for multimodal LLM 探索多模态大模型visual prompt tuning的可迁移性
+
 - MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks [[arxiv](https://arxiv.org/abs/2403.11646)]
   - Model merge for medical transfer learning 通过模型合并进行医学迁移学习
 
@@ -763,6 +766,9 @@ Here, we list some papers by topic. For list by date, please refer to [papers by
 
 ## Deep domain adaptation
 
+- DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series [[arxiv](https://arxiv.org/abs/2404.11269)]
+  - Domain adaptation for anomaly detection 使用域自适应进行时间序列异常检测
+
 - CVPR'24 Unified Language-driven Zero-shot Domain Adaptation [[arxiv](https://arxiv.org/abs/2404.07155)]
   - Language-driven zero-shot domain adaptation 语言驱动的零样本 DA