Di Wu

According to our database, Di Wu authored at least 21 papers between 2022 and 2026.

Collaborative distances:

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

2026

LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues.

Di Wu, Zixiang Ji, Asmi Kawatkar, Bryan Kwan, Jia-Chen Gu, Nanyun Peng, Kai-Wei Chang

CoRR, May, 2026

TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib?

Alexander K. Taylor, Junyi Zhang, Ethan Ji, Vigyan Sahai, Haikang Deng, Yuanzhou Chen, Yifan Yuan, Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng, Amit Sahai, Wei Wang

CoRR, March, 2026

Open-Domain Safety Policy Construction.

Di Wu, Siyue Liu, Zixiang Ji, Ya-Liang Chang, Zhe-Yu Liu, Andrew Pleffer, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval.

Di Wu, Yixin Wan, Kai-Wei Chang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training.

Yiming Wang, Da Yin, Yuedong Cui, Ruichen Zheng, Zhiqian Li, Zongyu Lin, Di Wu, Xueqing Wu, Chenchen Ye, Yu Zhou, Kai-Wei Chang

CoRR, October, 2025

BRIEF-Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning.

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

CoRR, October, 2025

Visualized Text-to-Image Retrieval.

Di Wu, Yixin Wan, Kai-Wei Chang

CoRR, May, 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

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.

Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 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

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention.

Yixin Wan, Di Wu, Haoran Wang, 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

KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation.

Di Wu, Da Yin, Kai-Wei Chang

Proceedings of the Findings of the Association for 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