---
title: "Zhiting Hu — all works — Elamur Research"
description: "All 28 works of Zhiting Hu in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/zhiting-hu/works/"
---
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# Zhiting Hu — all works

28 works · [← Zhiting Hu](https://md.research.elamur.ai/free/en/authors/zhiting-hu/)

1. **[Harnessing Deep Neural Networks with Logic Rules](https://md.research.elamur.ai/free/en/papers/hu-2016-harnessing-deep-neural-networks-logic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, et al.*2016 · 627 citations*
2. [**Toward Controlled Generation of Text arXiv:1703.00955**Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.*2017 · 537 citations*](https://md.research.elamur.ai/free/en/papers/hu-2017-toward-controlled-generation-text/)
3. **[Reasoning with Language Model is Planning with World Model ↗](https://aclanthology.org/2023.emnlp-main.507/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shibo Hao et al.*2023 · 503 citations*
4. **[RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.*2022 · 338 citations*
5. **[Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation ↗](https://doi.org/10.1609/aaai.v33i01.33016666) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Christy Y. Li et al.*2019 · 331 citations*
6. **[Deep Learning for Text Style Transfer: A Survey ↗](https://aclanthology.org/2022.cl-1.6/) Computational Linguistics · no summary yet**Di Jin et al.*2022 · 318 citations*
7. **[AlignScore: Evaluating Factual Consistency with A Unified Alignment Function](https://md.research.elamur.ai/free/en/papers/zha-2023-alignscore-evaluating-factual-consistency-unified/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuheng Zha, Yichi Yang, Ruichen Li, et al.*2023 · 284 citations*
8. **[Towards Multi-Pose Guided Virtual Try-On Network ↗](https://doi.org/10.1109/iccv.2019.00912) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Haoye Dong et al.*2019 · 214 citations*
9. **[Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ↗](https://arxiv.org/abs/1702.08139) arXiv (Cornell University) · no summary yet**Zichao Yang et al.*2017 · 174 citations*
10. **[Target-Guided Open-Domain Conversation](https://md.research.elamur.ai/free/en/papers/tang-2019-target-guided-open-domain-conversation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, et al.*2019 · 166 citations*
11. [**Unsupervised Text Style Transfer using Language Models as Discriminators arXiv:1805.11749**Zichao Yang, Zhiting Hu, Chris Dyer, et al.*2018 · 161 citations*](https://md.research.elamur.ai/free/en/papers/yang-2018-unsupervised-text-style-transfer-using/)
12. **[ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings](https://md.research.elamur.ai/free/en/papers/hao-2023-toolkengpt-augmenting-frozen-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shibo Hao, Tianyang Liu, Zhen Wang, et al.*2023 · 147 citations*
13. **[Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification](https://md.research.elamur.ai/free/en/papers/qin-2017-adversarial-connective-exploiting-networks-implicit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.*2017 · 145 citations*
14. **[Progressive Generation of Long Text with Pretrained Language Models ↗](https://aclanthology.org/2021.naacl-main.341/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Bowen Tan et al.*2021 · 105 citations*
15. **[Stochastic Variational Deep Kernel Learning ↗](https://arxiv.org/abs/1611.00336) arXiv (Cornell University) · no summary yet**Andrew Gordon Wilson et al.*2016 · 105 citations*
16. **[PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ↗](https://arxiv.org/abs/2310.16427) arXiv:2310.16427 · no summary yet**Xinyuan Wang et al.*2023 · 102 citations*
17. **[Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation](https://md.research.elamur.ai/free/en/papers/deng-2021-compression-transduction-creation-unified-framework/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingkai Deng, Bowen Tan, Zhengzhong Liu, et al.*2021 · 102 citations*
18. **[On Unifying Deep Generative Models ↗](https://arxiv.org/abs/1706.00550) arXiv (Cornell University) · no summary yet**Zhiting Hu et al.*2017 · 98 citations*
19. **[Deep Neural Networks with Massive Learned Knowledge ↗](https://aclanthology.org/D16-1173/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhiting Hu et al.*2016 · 86 citations*
20. **[Learning Data Manipulation for Augmentation and Weighting ↗](https://arxiv.org/abs/1910.12795) arXiv (Cornell University) · no summary yet**Zhiting Hu et al.*2019 · 79 citations*
21. **[Structured Content Preservation for Unsupervised Text Style Transfer ↗](https://arxiv.org/abs/1810.06526) arXiv:1810.06526 · no summary yet**Youzhi Tian, Zhiting Hu, Zhou Yu*2018 · 50 citations*
22. **[Deep Generative Models with Learnable Knowledge Constraints ↗](https://arxiv.org/abs/1806.09764) arXiv (Cornell University) · no summary yet**Zhiting Hu et al.*2018 · 48 citations*
23. **[MMToM-QA: Multimodal Theory of Mind Question Answering](https://md.research.elamur.ai/free/en/papers/jin-2024-mmtom-qa-multimodal-theory-mind/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuanyang Jin, Yutong Wu, Jing Cao, et al.*2024 · 44 citations*
24. **[Deep Kernel Learning ↗](https://arxiv.org/abs/1511.02222) arXiv (Cornell University) · no summary yet**Andrew Gordon Wilson et al.*2015 · 42 citations*
25. **[AutoLoss: Learning Discrete Schedules for Alternate Optimization ↗](https://arxiv.org/abs/1810.02442) arXiv (Cornell University) · no summary yet**Haowen Xu et al.*2018 · 23 citations*
26. **[Connecting the Dots Between MLE and RL for Sequence Generation ↗](https://arxiv.org/abs/1811.09740) arXiv (Cornell University) · no summary yet**Bowen Tan et al.*2019 · 19 citations*
27. **[IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL ↗](https://arxiv.org/abs/2603.12151) arXiv (Cornell University) · no summary yet**Zhoujun Cheng et al.*2026*
28. **[Response to Promises and Pitfalls of Deep Kernel Learning ↗](https://arxiv.org/abs/2509.21228) arXiv (Cornell University) · no summary yet**Andrew Gordon Wilson et al.*2025*