🧑‍🔬 Zhiting Hu — all works

28 works · ← Zhiting Hu

1. Harnessing Deep Neural Networks with Logic RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, et al.2016 · 627 citations
2. Toward Controlled Generation of TextarXiv:1703.00955Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.2017 · 537 citations
3. Reasoning with Language Model is Planning with World Model ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetShibo Hao et al.2023 · 503 citations
4. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 338 citations
5. Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChristy Y. Li et al.2019 · 331 citations
6. Deep Learning for Text Style Transfer: A Survey ↗Computational Linguistics · no summary yetDi Jin et al.2022 · 318 citations
7. AlignScore: Evaluating Factual Consistency with A Unified Alignment FunctionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Zha, Yichi Yang, Ruichen Li, et al.2023 · 284 citations
8. Towards Multi-Pose Guided Virtual Try-On Network ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetHaoye Dong et al.2019 · 214 citations
9. Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ↗arXiv (Cornell University) · no summary yetZichao Yang et al.2017 · 174 citations
10. Target-Guided Open-Domain ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, et al.2019 · 166 citations
11. Unsupervised Text Style Transfer using Language Models as DiscriminatorsarXiv:1805.11749Zichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 161 citations
12. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
13. Adversarial Connective-exploiting Networks for Implicit Discourse Relation ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Lianhui Qin, Zhisong Zhang, Hai Zhao, et al.2017 · 145 citations
14. Progressive Generation of Long Text with Pretrained Language Models ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetBowen Tan et al.2021 · 105 citations
15. Stochastic Variational Deep Kernel Learning ↗arXiv (Cornell University) · no summary yetAndrew Gordon Wilson et al.2016 · 105 citations
16. PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ↗arXiv:2310.16427 · no summary yetXinyuan Wang et al.2023 · 102 citations
17. Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Bowen Tan, Zhengzhong Liu, et al.2021 · 102 citations
18. On Unifying Deep Generative Models ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2017 · 98 citations
19. Deep Neural Networks with Massive Learned Knowledge ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetZhiting Hu et al.2016 · 86 citations
20. Learning Data Manipulation for Augmentation and Weighting ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2019 · 79 citations
21. Structured Content Preservation for Unsupervised Text Style Transfer ↗arXiv:1810.06526 · no summary yetYouzhi Tian, Zhiting Hu, Zhou Yu2018 · 50 citations
22. Deep Generative Models with Learnable Knowledge Constraints ↗arXiv (Cornell University) · no summary yetZhiting Hu et al.2018 · 48 citations
23. MMToM-QA: Multimodal Theory of Mind Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanyang Jin, Yutong Wu, Jing Cao, et al.2024 · 44 citations
24. Deep Kernel Learning ↗arXiv (Cornell University) · no summary yetAndrew Gordon Wilson et al.2015 · 42 citations
25. AutoLoss: Learning Discrete Schedules for Alternate Optimization ↗arXiv (Cornell University) · no summary yetHaowen Xu et al.2018 · 23 citations
26. Connecting the Dots Between MLE and RL for Sequence Generation ↗arXiv (Cornell University) · no summary yetBowen Tan et al.2019 · 19 citations
27. IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL ↗arXiv (Cornell University) · no summary yetZhoujun Cheng et al.2026
28. Response to Promises and Pitfalls of Deep Kernel Learning ↗arXiv (Cornell University) · no summary yetAndrew Gordon Wilson et al.2025

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