Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Zhiting Hu; Haoran Shi 001; Zichao Yang; Bowen Tan; Tiancheng Zhao; Junxian He; Wentao Wang; Xingjiang Yu; Lianhui Qin; Di Wang 030; Xuezhe Ma; Zhengzhong Liu 001; et al. (CoRR, 2018)

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. - Zhiting Hu; Haoran Shi 001; Bowen Tan; Wentao Wang; Zichao Yang; Tiancheng Zhao; Junxian He; Lianhui Qin; Di Wang 030; Xuezhe Ma; Zhengzhong Liu 001; Xiaodan Liang; et al. (ACL (3), 2019)

Text Infilling. - Wanrong Zhu; Zhiting Hu; Eric P. Xing (CoRR, 2019)

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. - Wanrong Zhu; Xin Wang 061; Pradyumna Narayana; Kazoo Sone; Sugato Basu; William Yang Wang (EMNLP (1), 2020)

A Fully Online Approach for Covariance Matrices Estimation of Stochastic Gradient Descent Solutions. - Wanrong Zhu; Xi Chen; Wei Biao Wu (CoRR, 2020)

Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. - Wanrong Zhu; Xin Wang 061; Tsu-Jui Fu; An Yan 003; Pradyumna Narayana; Kazoo Sone; Sugato Basu; William Yang Wang (EACL, 2021)

End-to-end Dense Video Captioning as Sequence Generation. - Wanrong Zhu; Bo Pang 001; Ashish V. Thapliyal; William Yang Wang; Radu Soricut (COLING, 2022)

Imagination-Augmented Natural Language Understanding. - Yujie Lu; Wanrong Zhu; Xin Wang 061; Miguel P. Eckstein; William Yang Wang (NAACL-HLT, 2022)

Diagnosing Vision-and-Language Navigation: What Really Matters. - Wanrong Zhu; Yuankai Qi; Pradyumna Narayana; Kazoo Sone; Sugato Basu; Xin Wang 061; Qi Wu 001; Miguel P. Eckstein; William Yang Wang (NAACL-HLT, 2022)

Neuro-Symbolic Causal Language Planning with Commonsense Prompting. - Yujie Lu; Weixi Feng; Wanrong Zhu; Wenda Xu; Xin Eric Wang; Miguel P. Eckstein; William Yang Wang (CoRR, 2022)

CLIP also Understands Text: Prompting CLIP for Phrase Understanding. - An Yan 003; Jiacheng Li 003; Wanrong Zhu; Yujie Lu; William Yang Wang; Julian J. McAuley (CoRR, 2022)

Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent. - Wanrong Zhu; Zhipeng Lou; Wei Biao Wu (J. Mach. Learn. Res., 2022)

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. - Wanrong Zhu; Xin Wang 061; An Yan 003; Miguel P. Eckstein; William Yang Wang (EACL (Findings), 2023)

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. - Wanrong Zhu; An Yan 003; Yujie Lu; Wenda Xu; Xin Wang 061; Miguel P. Eckstein; William Yang Wang (EACL (Findings), 2023)

Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. - Wanrong Zhu; Xinyi Wang 003; Yujie Lu; Tsu-Jui Fu; Xin Wang 061; Miguel P. Eckstein; William Wang 001 (EMNLP, 2023)

Neuro-Symbolic Procedural Planning with Commonsense Prompting. - Yujie Lu; Weixi Feng; Wanrong Zhu; Wenda Xu; Xin Eric Wang; Miguel P. Eckstein; William Yang Wang (ICLR, 2023)

VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. - Yonatan Bitton; Hritik Bansal; Jack Hessel; Rulin Shao; Wanrong Zhu; Anas Awadalla; Josh Gardner 001; Rohan Taori; Ludwig Schmidt (NeurIPS, 2023)

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. - Weixi Feng; Wanrong Zhu; Tsu-Jui Fu; Varun Jampani; Arjun R. Akula; Xuehai He; Sugato Basu; Xin Eric Wang; William Yang Wang (NeurIPS, 2023)

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. - Xinyi Wang 003; Wanrong Zhu; Michael Saxon; Mark Steyvers; William Yang Wang (NeurIPS, 2023)

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. - Wanrong Zhu; Jack Hessel; Anas Awadalla; Samir Yitzhak Gadre; Jesse Dodge; Alex Fang; Youngjae Yu; Ludwig Schmidt; William Yang Wang; Yejin Choi 001 (NeurIPS, 2023)

Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning. - Xinyi Wang 003; Wanrong Zhu; William Yang Wang (CoRR, 2023)

Weighted Averaged Stochastic Gradient Descent: Asymptotic Normality and Optimality. - Ziyang Wei; Wanrong Zhu; Wei Biao Wu (CoRR, 2023)

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. - Anas Awadalla; Irena Gao; Josh Gardner 001; Jack Hessel; Yusuf Hanafy; Wanrong Zhu; Kalyani Marathe; Yonatan Bitton; Samir Yitzhak Gadre; Shiori Sagawa; Jenia Jitsev; Simon Kornblith; et al. (CoRR, 2023)

VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. - Yonatan Bitton; Hritik Bansal; Jack Hessel; Rulin Shao; Wanrong Zhu; Anas Awadalla; Josh Gardner 001; Rohan Taori; Ludwig Schmidt (CoRR, 2023)

GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. - An Yan 003; Zhengyuan Yang; Wanrong Zhu; Kevin Lin; Linjie Li; Jianfeng Wang; Jianwei Yang; Yiwu Zhong; Julian J. McAuley; Jianfeng Gao 001; Zicheng Liu 001; Lijuan Wang (CoRR, 2023)

VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. - Raphael Schumann; Wanrong Zhu; Weixi Feng; Tsu-Jui Fu; Stefan Riezler; William Yang Wang (AAAI, 2024)

Multimodal Procedural Planning via Dual Text-Image Prompting. - Yujie Lu; Pan Lu; Zhiyu Chen 002; Wanrong Zhu; Xin Wang 061; William Yang Wang (EMNLP (Findings), 2024)

High Confidence Level Inference is Almost Free using Parallel Stochastic Optimization. - Wanrong Zhu; Zhipeng Lou; Ziyang Wei; Wei Biao Wu (CoRR, 2024)

Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. - Wanrong Zhu; Jennifer Healey; Ruiyi Zhang 002; William Yang Wang; Tong Sun 005 (CoRR, 2024)

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. - An Yan 003; Zhengyuan Yang; Junda Wu; Wanrong Zhu; Jianwei Yang; Linjie Li; Kevin Lin; Jianfeng Wang; Julian J. McAuley; Jianfeng Gao 001; Lijuan Wang (CoRR, 2024)

MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension. - Zekun Li 008; 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; et al. (CoRR, 2024)

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. - 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; et al. (ICLR, 2025)

Towards Visual Text Grounding of Multimodal Large Language Model. - Ming Li; Ruiyi Zhang 002; Jian Chen 043; Jiuxiang Gu; Yufan Zhou 001; Franck Dernoncourt; Wanrong Zhu; Tianyi Zhou 001; Tong Sun 005 (CoRR, 2025)

Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling. - Xinchen Du; Wanrong Zhu; Wei Biao Wu; Sen Na (CoRR, 2025)