Wanrong Zhu - RankMe

54 papers A* 9A 1B 1Journal 36Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Flexible Empirical Bayes Approach to Generalized Linear Models, with Applications to Sparse Logistic Regression. CoRR Dongyue Xie, Wanrong Zhu, Matthew Stephens
2026	J	`jnl`	AnyDoc: Enhancing Document Generation via Large-Scale HTML/CSS Data Synthesis and Height-Aware Reinforcement Optimization. CoRR Jiawei Lin, Wanrong Zhu, Vlad I. Morariu, Christopher Tensmeyer
2026	J	`jnl`	MiLDEdit: Reasoning-Based Multi-Layer Design Document Editing. CoRR Zihao Lin, Wanrong Zhu, Jiuxiang Gu, Jihyung Kil, Christopher Tensmeyer, Lin Zhang, Shilong Liu, Ruiyi Zhang, Lifu Huang, Vlad I. Morariu, Tong Sun
2026	A*	`conf`	OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. AAAI Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2025	J	`jnl`	GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding. CoRR Shijie Zhou, Viet Dac Lai, Hao Tan, Jihyung Kil, Wanrong Zhu, Changyou Chen, Ruiyi Zhang
2025	A*	`conf`	MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. ICLR Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang
2025	J	`jnl`	OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. CoRR Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2025	J	`jnl`	Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling. CoRR Xinchen Du, Wanrong Zhu, Wei Biao Wu, Sen Na
2025	J	`jnl`	Text-Conditioned Background Generation for Editable Multi-Layer Documents. CoRR Taewon Kang, K. J. Joseph, Chris Tensmeyer, Jihyung Kil, Wanrong Zhu, Ming C. Lin, Vlad I. Morariu
2025	J	`jnl`	Towards Visual Text Grounding of Multimodal Large Language Model. CoRR Ming Li, Ruiyi Zhang, Jian Chen, Jiuxiang Gu, Yufan Zhou, Franck Dernoncourt, Wanrong Zhu, Tianyi Zhou, Tong Sun
2024	J	`jnl`	Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. CoRR Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun
2024	J	`jnl`	High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization. CoRR Wanrong Zhu, Zhipeng Lou, Ziyang Wei, Wei Biao Wu
2024	J	`jnl`	List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. CoRR An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian J. McAuley, Jianfeng Gao, Lijuan Wang
2024	J	`jnl`	MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension. CoRR Zekun Li, Xianjun Yang, Kyuri Choi, Wanrong Zhu, Ryan Hsieh, HyeonJung Kim, Jin Hyuk Lim, Sungyoung Ji, Byungju Lee, Xifeng Yan, Linda Ruth Petzold, Stephen D. Wilson, Woosang Lim, William Yang Wang
2024	J	`jnl`	MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. CoRR Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang
2024	—	`conf`	Multimodal Procedural Planning via Dual Text-Image Prompting. EMNLP (Findings) Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Wang, William Yang Wang
2024	A*	`conf`	VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. AAAI Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang
2023	A*	`conf`	Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. EMNLP Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Wang, Miguel P. Eckstein, William Wang
2023	J	`jnl`	Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. CoRR Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2023	J	`jnl`	GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. CoRR An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, Jianfeng Wang, Jianwei Yang, Yiwu Zhong, Julian J. McAuley, Jianfeng Gao, Zicheng Liu, Lijuan Wang
2023	—	`conf`	ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. EACL (Findings) Wanrong Zhu, Xin Wang, An Yan, Miguel P. Eckstein, William Yang Wang
2023	J	`jnl`	Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning. CoRR Xinyi Wang, Wanrong Zhu, William Yang Wang
2023	A*	`conf`	Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. NeurIPS Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
2023	A*	`conf`	LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. NeurIPS Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
2023	J	`jnl`	LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. CoRR Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang
2023	J	`jnl`	Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
2023	A*	`conf`	Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi
2023	J	`jnl`	Multimodal Procedural Planning via Dual Text-Image Prompting. CoRR Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Eric Wang, William Yang Wang
2023	A*	`conf`	Neuro-Symbolic Procedural Planning with Commonsense Prompting. ICLR Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2023	J	`jnl`	OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. CoRR Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Yitzhak Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt
2023	J	`jnl`	VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. CoRR Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang
2023	J	`jnl`	VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. CoRR Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
2023	A*	`conf`	VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. NeurIPS Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt
2023	—	`conf`	Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. EACL (Findings) Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Wang, Miguel P. Eckstein, William Yang Wang
2023	J	`jnl`	Weighted Averaged Stochastic Gradient Descent: Asymptotic Normality and Optimality. CoRR Ziyang Wei, Wanrong Zhu, Wei Biao Wu
2022	J	`jnl`	Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent. J. Mach. Learn. Res. Wanrong Zhu, Zhipeng Lou, Wei Biao Wu
2022	J	`jnl`	CLIP also Understands Text: Prompting CLIP for Phrase Understanding. CoRR An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, Julian J. McAuley
2022	—	`conf`	Diagnosing Vision-and-Language Navigation: What Really Matters. NAACL-HLT Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang
2022	B	`conf`	End-to-end Dense Video Captioning as Sequence Generation. COLING Wanrong Zhu, Bo Pang, Ashish V. Thapliyal, William Yang Wang, Radu Soricut
2022	J	`jnl`	End-to-end Dense Video Captioning as Sequence Generation. CoRR Wanrong Zhu, Bo Pang, Ashish V. Thapliyal, William Yang Wang, Radu Soricut
2022	—	`conf`	Imagination-Augmented Natural Language Understanding. NAACL-HLT Yujie Lu, Wanrong Zhu, Xin Wang, Miguel P. Eckstein, William Yang Wang
2022	J	`jnl`	Imagination-Augmented Natural Language Understanding. CoRR Yujie Lu, Wanrong Zhu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2022	J	`jnl`	Neuro-Symbolic Causal Language Planning with Commonsense Prompting. CoRR Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2022	J	`jnl`	Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. CoRR Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang
2021	J	`jnl`	Diagnosing Vision-and-Language Navigation: What Really Matters. CoRR Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang
2021	J	`jnl`	ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. CoRR Wanrong Zhu, Xin Eric Wang, An Yan, Miguel P. Eckstein, William Yang Wang
2021	A	`conf`	Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. EACL Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
2020	J	`jnl`	A Fully Online Approach for Covariance Matrices Estimation of Stochastic Gradient Descent Solutions. CoRR Wanrong Zhu, Xi Chen, Wei Biao Wu
2020	J	`jnl`	Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. CoRR Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
2020	—	`conf`	Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. EMNLP (1) Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
2020	J	`jnl`	Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. CoRR Wanrong Zhu, Xin Eric Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang
2019	—	`conf`	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing
2019	J	`jnl`	Text Infilling. CoRR Wanrong Zhu, Zhiting Hu, Eric P. Xing
2018	J	`jnl`	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing