| UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models T Xie*, CH Wu*, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, ... EMNLP 2022, 2022 | 253* | 2022 |
| Selective Annotation Makes Language Models Better Few-Shot Learners H Su, J Kasai, CH Wu, W Shi, T Wang, J Xin, R Zhang, M Ostendorf, ... ICLR 2023, 2022 | 158* | 2022 |
| A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance CH Wu, F De la Torre ICCV 2023, 2022 | 92* | 2022 |
| Summ^ N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents Y Zhang, A Ni, Z Mao, CH Wu, C Zhu, B Deb, AH Awadallah, D Radev, ... ACL 2022, 2022 | 81 | 2022 |
| A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer C Wu*, X Ren*, F Luo, X Sun ACL 2019, 2019 | 63 | 2019 |
| DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization Z Mao*, CH Wu*, A Ni, Y Zhang, R Zhang, T Yu, B Deb, C Zhu, ... ACL 2022, 2022 | 54 | 2022 |
| EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-training H Zhou*, P Ke*, Z Zhang*, Y Gu, Y Zheng, C Zheng, Y Wang, CH Wu, ... ArXiv 2021, 2021 | 47 | 2021 |
| Text2Reward: Reward Shaping with Language Models for Reinforcement Learning T Xie*, S Zhao*, CH Wu, Y Liu, Q Luo, V Zhong, Y Yang, T Yu ICLR 2024, 2023 | 30* | 2023 |
| Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models CH Wu, S Motamed, S Srivastava, F De la Torre NeurIPS 2022, 2022 | 24 | 2022 |
| ITI-GEN: Inclusive Text-to-Image Generation C Zhang, X Chen, S Chai, CH Wu, D Lagun, T Beeler, F De la Torre ICCV 2023, 2023 | 23 | 2023 |
| Zero-Shot Model Diagnosis J Luo*, Z Wang*, CH Wu, D Huang, F De la Torre CVPR 2023, 2023 | 10 | 2023 |
Tao YuAssistant Professor, Computer Science, University of Hong Kong在 cs.hku.hk 的电子邮件经过验证
