Di Wu

According to our database, Di Wu authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Self-Routing RAG: Binding Selective Retrieval with Knowledge Verbalization.

Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng

CoRR, April, 2025

BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression.

Yuankai Li, Jia-Chen Gu, Di Wu, Kai-Wei Chang, Nanyun Peng

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

Repoformer: Selective Retrieval for Repository-Level Code Completion.

Di Wu, Wasi Uddin Ahmad, Dejiao Zhang, Murali Krishna Ramanathan, Xiaofei Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation.

Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MetaKP: On-Demand Keyphrase Generation.

Di Wu, Xiaoxian Shen, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation.

Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems.

Di Wu, Da Yin, Kai-Wei Chang

CoRR, 2023

Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models.

Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.

Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study.

Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang

CoRR, 2022

Representation Learning for Resource-Constrained Keyphrase Generation.

Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022