Hu, Zhiting

43 publications

NeurIPS 2025 Activation Control for Efficiently Eliciting Long Chain-of-Thought Ability of Language Models Zekai Zhao, Qi Liu, Kun Zhou, Zihan Liu, Yifei Shao, Zhiting Hu, Biwei Huang

ICLRW 2025 Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation Qiyue Gao, Xinyu Pi, Kevin Liu, Junrong Chen, Ruolan Yang, Xinqi Huang, Xinyu Fang, Lu Sun, Gautham Kishore, Bo Ai, Stone Tao, Mengyang Liu, Jiaxi Yang, Chao-Jung Lai, Chuanyang Jin, Jiannan Xiang, Benhao Huang, David Danks, Hao Su, Tianmin Shu, Ziqiao Ma, Lianhui Qin, Zhiting Hu

NeurIPS 2025 Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought Hanlin Zhu, Shibo Hao, Zhiting Hu, Jiantao Jiao, Stuart Russell, Yuandong Tian

NeurIPS 2025 Revisiting Reinforcement Learning for LLM Reasoning from a Cross-Domain Perspective Zhoujun Cheng, Shibo Hao, Tianyang Liu, Fan Zhou, Yutao Xie, Feng Yao, Yuexin Bian, Nilabjo Dey, Yonghao Zhuang, Yuheng Zha, Yi Gu, Kun Zhou, Yuqi Wang, Yuan Li, Richard Fan, Jianshu She, Chengqian Gao, Abulhair Saparov, Taylor W. Killian, Haonan Li, Mikhail Yurochkin, Eric P. Xing, Zhengzhong Liu, Zhiting Hu

NeurIPS 2025 SimWorld-Robotics: Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration Yan Zhuang, Jiawei Ren, Xiaokang Ye, Jianzhi Shen, Ruixuan Zhang, Tianai Yue, Muhammad Faayez, Xuhong He, Xiyan Zhang, Ziqiao Ma, Lianhui Qin, Zhiting Hu, Tianmin Shu

NeurIPS 2025 SimWorld: An Open-Ended Simulator for Agents in Physical and Social Worlds Xiaokang Ye, Jiawei Ren, Yan Zhuang, Xuhong He, Yiming Liang, Yiqing Yang, Mrinaal Dogra, Xianrui Zhong, Eric Liu, Kevin Benavente, Rajiv Mandya Nagaraju, Dhruv Vivek Sharma, Ziqiao Ma, Tianmin Shu, Zhiting Hu, Lianhui Qin

ICML 2025 Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs Bowen Tan, Zheng Xu, Eric Xing, Zhiting Hu, Shanshan Wu

ICLRW 2025 Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs Bowen Tan, Zheng Xu, Eric P. Xing, Zhiting Hu, Shanshan Wu

NeurIPS 2025 Towards General Continuous Memory for Vision-Language Models Wenyi Wu, Zixuan Song, Kun Zhou, Yifei Shao, Zhiting Hu, Biwei Huang

ICLRW 2025 Training Large Language Models to Reason in a Continuous Latent Space Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason E Weston, Yuandong Tian

ICLRW 2025 Understanding the Sources of Uncertainty for Large Language and Multimodal Models Ziran Yang, Shibo Hao, Hao Sun, Lai Jiang, Qiyue Gao, Yian Ma, Zhiting Hu

NeurIPS 2025 scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery Yiming Gao, Zhen Wang, Jefferson Chen, Mark Antkowiak, Mengzhou Hu, JungHo Kong, Dexter Pratt, Jieyuan Liu, Enze Ma, Zhiting Hu, Eric P. Xing

ICLRW 2024 LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu

ICLR 2024 PromptAgent: Strategic Planning with Language Models Enables Expert-Level Prompt Optimization Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric Xing, Zhiting Hu

ICML 2024 Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian Mcauley, Zichao Yang, Eric P. Xing, Zhiting Hu

NeurIPS 2023 Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer Bowen Tan, Yun Zhu, Lijuan Liu, Eric P. Xing, Zhiting Hu, Jindong Chen

NeurIPS 2023 Language Models Meet World Models: Embodied Experiences Enhance Language Models Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu

NeurIPSW 2023 MMToM-QA: Multimodal Theory of Mind Question Answering Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu

NeurIPSW 2023 Reasoning with Language Model Is Planning with World Model Shibo Hao, Yi Gu, Haodi Ma, Joshua Hong, Zhen Wang, Daisy Zhe Wang, Zhiting Hu

NeurIPS 2023 Text Alignment Is an Efficient Unified Model for Massive NLP Tasks Yuheng Zha, Yichi Yang, Ruichen Li, Zhiting Hu

NeurIPS 2023 ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu

NeurIPS 2021 A Causal Lens for Controllable Text Generation Zhiting Hu, Li Erran Li

NeurIPS 2020 Improving GAN Training with Probability Ratio Clipping and Sample Reweighting Yue Wu, Pan Zhou, Andrew G Wilson, Eric P. Xing, Zhiting Hu

ICLR 2019 AutoLoss: Learning Discrete Schedule for Alternate Optimization Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric Xing

ICLRW 2019 Connecting the Dots Between MLE and RL for Sequence Generation Bowen Tan, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing

AAAI 2019 Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

NeurIPS 2019 Learning Data Manipulation for Augmentation and Weighting Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P Xing

NeurIPS 2018 Deep Generative Models with Learnable Knowledge Constraints Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Lianhui Qin, Xiaodan Liang, Haoye Dong, Eric P Xing

NeurIPS 2018 Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P Xing

ICLR 2018 On Unifying Deep Generative Models Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Eric P. Xing

NeurIPS 2018 Symbolic Graph Reasoning Meets Convolutions Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P Xing

NeurIPS 2018 Unsupervised Text Style Transfer Using Language Models as Discriminators Zichao Yang, Zhiting Hu, Chris Dyer, Eric P Xing, Taylor Berg-Kirkpatrick

ICLR 2017 Dropout with Expectation-Linear Regularization Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy

ICML 2017 Improved Variational Autoencoders for Text Modeling Using Dilated Convolutions Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick

JMLR 2017 Learning Scalable Deep Kernels with Recurrent Structure Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing

ICCV 2017 Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing

ICCV 2017 Recurrent Topic-Transition GAN for Visual Paragraph Generation Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing

ICML 2017 Toward Controlled Generation of Text Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

AISTATS 2016 Deep Kernel Learning Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing

IJCAI 2016 Grounding Topic Models with Knowledge Bases Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie

NeurIPS 2016 Stochastic Variational Deep Kernel Learning Andrew G Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P Xing

ICML 2015 Large-Scale Distributed Dependent Nonparametric Trees Zhiting Hu, Ho Qirong, Avinava Dubey, Eric Xing

AAAI 2014 User Group Oriented Temporal Dynamics Exploration Zhiting Hu, Junjie Yao, Bin Cui