Zhiting Hu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 120

Top Venues

CoRR

NeurIPS

ACL (1)

EMNLP

Publications

Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. ICLR (2024)
Jiannan Xiang, Guangyi Liu, Yi Gu, Qiyue Gao, Yuting Ning, Yuheng Zha, Zeyu Feng, Tianhua Tao, Shibo Hao, Yemin Shi, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Pandora: Towards General World Model with Natural Language Actions and Video States. CoRR (2024)
Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu
LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models. CoRR (2024)
Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian J. McAuley, Eric P. Xing, Zichao Yang, Zhiting Hu
Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding. CoRR (2024)
Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, Chengxiang Zhai, Klara Nahrstedt, Zhiting Hu
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models. CoRR (2024)
Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR (2024)
Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. NeurIPS (2023)
Zhiting Hu, Tianmin Shu
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning. CoRR (2023)
Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu
Reasoning with Language Model is Planning with World Model. CoRR (2023)
Shibo Hao, Yi Gu, Haodi Ma, Joshua Jiahua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu
Reasoning with Language Model is Planning with World Model. EMNLP (2023)
Bowen Tan, Yun Zhu, Lijuan Liu, Hongyi Wang, Yonghao Zhuang, Jindong Chen, Eric P. Xing, Zhiting Hu
Redco: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs. CoRR (2023)
Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. CoRR (2023)
Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
Language Models Meet World Models: Embodied Experiences Enhance Language Models. NeurIPS (2023)
Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks. NeurIPS (2023)
Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric P. Xing, Zhiting Hu
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization. CoRR (2023)
Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
AlignScore: Evaluating Factual Consistency with A Unified Alignment Function. ACL (1) (2023)
Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing
LLM360: Towards Fully Transparent Open-Source LLMs. CoRR (2023)
Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
Composable Text Controls in Latent Space with ODEs. EMNLP (2023)
Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings. CoRR (2023)
Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu
Language Models Meet World Models: Embodied Experiences Enhance Language Models. CoRR (2023)
Shibo Hao, Bowen Tan, Kaiwen Tang, Bin Ni, Xiyan Shao, Hengzhe Zhang, Eric P. Xing, Zhiting Hu
BertNet: Harvesting Knowledge Graphs with Arbitrary Relations from Pretrained Language Models. ACL (Findings) (2023)
Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function. CoRR (2023)
Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. NeurIPS (2023)
Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer. CoRR (2023)
Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. EMNLP (Findings) (2022)
Zhiting Hu, Li Erran Li
A Causal Lens for Controllable Text Generation. CoRR (2022)
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu
RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning. CoRR (2022)
Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
elBERto: Self-supervised commonsense learning for question answering. Knowl. Based Syst. 258 (2022)
Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P. Xing, Zhiting Hu
BertNet: Harvesting Knowledge Graphs from Pretrained Language Models. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. 54 (11s) (2022)
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. EMNLP (2022)
Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. EMNLP (Findings) (2022)
Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. CoRR (2022)
Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
Composable Text Control Operations in Latent Space with Ordinary Differential Equations. CoRR (2022)
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
Deep Learning for Text Style Transfer: A Survey. Comput. Linguistics 48 (1) (2022)
Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. NAACL-HLT (2022)
Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin
elBERto: Self-supervised Commonsense Learning for Question Answering. CoRR (2022)
Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. CoRR (2021)
Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. CoRR (2021)
Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. EMNLP (1) (2021)
Zhiting Hu, Li Erran Li
A Causal Lens for Controllable Text Generation. NeurIPS (2021)
Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
Progressive Generation of Long Text with Pretrained Language Models. NAACL-HLT (2021)
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu
A Data-Centric Framework for Composable NLP Workflows. CoRR (2021)
Zhiting Hu, Eric P. Xing
Panoramic Learning with A Standardized Machine Learning Formalism. CoRR (2021)
Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
Text Generation with Efficient (Soft) Q-Learning. CoRR (2021)
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
A Survey of Knowledge-Enhanced Text Generation. CoRR (2020)
Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. CoRR (2020)
Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. EMNLP (1) (2020)
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
Deep Learning for Text Style Transfer: A Survey. CoRR (2020)
Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. CoRR (2020)
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu
A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) (2020)
Zhiting Hu, Eric P. Xing
Learning from All Types of Experiences: A Unifying Machine Learning Perspective. KDD (2020)
Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu
Record-to-Text Generation with Style Imitation. EMNLP (Findings) (2020)
Yue Wu, Pan Zhou, Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting. NeurIPS (2020)
Bowen Tan, Zichao Yang, Maruan Al-Shedivat, Eric P. Xing, Zhiting Hu
Progressive Generation of Long Text. CoRR (2020)
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. CoRR (2019)
Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
Connecting the Dots Between MLE and RL for Sequence Generation. DeepRLStructPred@ICLR (2019)
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. AAAI (2019)
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
Target-Guided Open-Domain Conversation. ACL (1) (2019)
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR (2019)
Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
AutoLoss: Learning Discrete Schedule for Alternate Optimization. ICLR (Poster) (2019)
Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing
Toward Unsupervised Text Content Manipulation. CoRR (2019)
Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin
Towards Multi-Pose Guided Virtual Try-On Network. ICCV (2019)
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing
Learning Data Manipulation for Augmentation and Weighting. NeurIPS (2019)
Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA (2019)
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
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) (2019)
Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing
Learning Data Manipulation for Augmentation and Weighting. CoRR (2019)
Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
Target-Guided Open-Domain Conversation. CoRR (2019)
Wanrong Zhu, Zhiting Hu, Eric P. Xing
Text Infilling. CoRR (2019)
Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
Connecting the Dots Between MLE and RL for Sequence Generation. CoRR (2018)
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
Unsupervised Text Style Transfer using Language Models as Discriminators. NeurIPS (2018)
Youzhi Tian, Zhiting Hu, Zhou Yu
Structured Content Preservation for Unsupervised Text Style Transfer. CoRR (2018)
Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi
Automatic Article Commenting: the Task and Dataset. ACL (2) (2018)
Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing
Symbolic Graph Reasoning Meets Convolutions. NeurIPS (2018)
Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
AutoLoss: Learning Discrete Schedules for Alternate Optimization. CoRR (2018)
Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi
Automatic Article Commenting: the Task and Dataset. CoRR (2018)
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
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR (2018)
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
On Unifying Deep Generative Models. ICLR (Poster) (2018)
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric P. Xing
Deep Generative Models with Learnable Knowledge Constraints. CoRR (2018)
Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. CoRR (2018)
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Lianhui Qin, Xiaodan Liang, Haoye Dong, Eric P. Xing
Deep Generative Models with Learnable Knowledge Constraints. NeurIPS (2018)
Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation. NeurIPS (2018)
Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD (2018)
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
Unsupervised Text Style Transfer using Language Models as Discriminators. CoRR (2018)
Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. ACL (1) (2017)
Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
Dropout with Expectation-linear Regularization. ICLR (Poster) (2017)
Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing
Learning Scalable Deep Kernels with Recurrent Structure. J. Mach. Learn. Res. 18 (2017)
Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
Efficient Correlated Topic Modeling with Topic Embedding. KDD (2017)
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
Toward Controlled Generation of Text. ICML (2017)
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. CoRR (2017)
Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing
Efficient Correlated Topic Modeling with Topic Embedding. CoRR (2017)
Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing
Towards Automated ICD Coding Using Deep Learning. CoRR (2017)
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. ICML (2017)
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing
On Unifying Deep Generative Models. CoRR (2017)
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR (2017)
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing
Controllable Text Generation. CoRR (2017)
Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. CoRR (2017)
Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing
Recurrent Topic-Transition GAN for Visual Paragraph Generation. CoRR (2017)
Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon
Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. ICCV (2017)
Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola
Neural Machine Translation with Recurrent Attention Modeling. EACL (2) (2017)

Zhiting Hu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zhiting Hu