Research
| Preprint 2024 |
Dissecting Adversarial Robustness of Multimodal LM Agents Chen Henry Wu, Rishi Shah, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, Aditi Raghunathan Also oral presentation at NeurIPS 2024 Open-World Agents workshop |
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| ICLR 2024 |
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning Tianbao Xie*, Siheng Zhao*, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu |
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| ICCV 2023 |
ITI-GEN: Inclusive Text-to-Image Generation Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre |
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| ICCV 2023 |
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance Chen Henry Wu, Fernando De la Torre |
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| ICLR 2023 |
Selective Annotation Makes Language Models Better Few-Shot Learners Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu |
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| NeurIPS 2022 |
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre |
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| EMNLP 2022 |
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models Tianbao Xie*, Chen Henry Wu*, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu |