VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval
Di Wu*, Yixin Wan*, and Kai-Wei Chang.
Preprint, 2025 [Paper] [Code] [Website]
Selected Publications
You can find all of my articles on my Google Scholar profile.
(* = equal contribution)
🔍 Retrieval Augmentation and Beyond
Self-Routing RAG: Binding Selective Retrieval with Knowledge Verbalization
Di Wu*, Jia-Chen Gu*, Kai-Wei Chang, and Nanyun Peng.
Preprint, 2025 [Paper] [Presentation] [Code] [Poster]
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, and Dong Yu.
ICLR, 2025 [Paper] [Presentation] [Code] [Poster] [Website]
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, and Kai-Wei Chang.
EMNLP, 2024 [Paper] [Presentation] [Code] [Poster] [Website]
Repoformer: Selective Retrieval for Repository-level Code Completion
Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, and Xiaofei Ma
ICML, 2024 (Oral Presentation) [Paper] [Presentation] [Poster] [Website]
📌 Keyphrase Generation and Extraction
MetaKP: On-Demand Keyphrase Generation
Di Wu*, Xiaoxian Shen*, and Kai-Wei Chang.
EMNLP (Findings), 2024 [Paper] [Presentation] [Code] [Poster]
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation
Di Wu, Da Yin, and Kai-Wei Chang.
ACL (Findings), 2024 [Paper] [Presentation] [Code] [Poster]
Representation Learning for Resource-Constrained Keyphrase Generation
Di Wu, Wasi Uddin Ahmad, Sunipa Dev, and Kai-Wei Chang.
EMNLP (Findings), 2022 [Paper] [Code] [Poster]
🔬 Virtual Histology
Virtual histological staining of unlabeled autopsy tissue
Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di Wu, Songyu Sun, Guangdong Ma, Kevin de Haan, Luzhe Huang, Sepehr Hamidi, Anatoly Urisman, Tal Keidar Haran, William Dean Wallace, Jonathan E Zuckerman, and Aydogan Ozcan.
Nature Communications, 2024 [Paper] [Code]
Biopsy-free in vivo virtual histology of skin using deep learning
Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin De Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip O Scumpia, and Aydogan Ozcan.
Light: Science & Applications, 2021 [Paper]