---
title: "Hao Zhou — all works — Elamur Research"
description: "All 26 works of Hao Zhou 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/hao-zhou/works/"
---
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# Hao Zhou — all works

26 works · [← Hao Zhou](https://md.research.elamur.ai/free/en/authors/hao-zhou/)

1. **[On the Sentence Embeddings from Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/li-2020-sentence-embeddings-pre-trained-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bohan Li, Hao Zhou, Junxian He, et al.*2020 · 833 citations*
2. **[Dynamically Fused Graph Network for Multi-hop Reasoning](https://md.research.elamur.ai/free/en/papers/qiu-2019-dynamically-fused-graph-network-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lin Qiu, Yunxuan Xiao, Yanru Qu, et al.*2019 · 239 citations*
3. **[Glancing Transformer for Non-Autoregressive Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2021-glancing-transformer-non-autoregressive-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lihua Qian, Hao Zhou, Yu Bao, et al.*2021 · 180 citations*
4. **[Generating Fluent Adversarial Examples for Natural Languages ↗](https://aclanthology.org/P19-1559/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Huangzhao Zhang et al.*2019 · 179 citations*
5. **[Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information](https://md.research.elamur.ai/free/en/papers/lin-2020-pre-training-multilingual-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zehui Lin, Xiao Pan, Mingxuan Wang, et al.*2020 · 178 citations*
6. **[UniRE: A Unified Label Space for Entity Relation Extraction ↗](https://aclanthology.org/2021.acl-long.19/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Yijun Wang et al.*2021 · 158 citations*
7. **[Towards Making the Most of BERT in Neural Machine Translation ↗](https://doi.org/10.1609/aaai.v34i05.6479) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jiacheng Yang et al.*2020 · 156 citations*
8. **[Generating Sentences from Disentangled Syntactic and Semantic Spaces](https://md.research.elamur.ai/free/en/papers/bao-2019-generating-sentences-disentangled-syntactic-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Bao, Hao Zhou, Shujian Huang, et al.*2019 · 154 citations*
9. **[Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2023-label-words-anchors-information-flow/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lean Wang, Lei Li, Damai Dai, et al.*2023 · 153 citations*
10. **[CPM: A Large-scale Generative Chinese Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/zhang-2020-cpm-large-scale-generative/) [AI Open](https://md.research.elamur.ai/free/en/venues/ai-open/)**Zhengyan Zhang, Xu Han, Hao Zhou, et al.*2020 · 150 citations*
11. **[KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation ↗](https://aclanthology.org/2020.acl-main.635/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Hao Zhou et al.*2020 · 143 citations*
12. **[Unsupervised Paraphrasing by Simulated Annealing ↗](https://aclanthology.org/2020.acl-main.28/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Xianggen Liu et al.*2020 · 122 citations*
13. **[Rethinking Document-level Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/sun-2022-rethinking-document-level-neural-machine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zewei Sun, Mingxuan Wang, Hao Zhou, et al.*2022 · 107 citations*
14. **[Imitation Learning for Non-Autoregressive Neural Machine Translation ↗](https://aclanthology.org/P19-1125/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Bingzhen Wei et al.*2019 · 105 citations*
15. **[On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark](https://md.research.elamur.ai/free/en/papers/sun-2022-safety-conversational-models-taxonomy-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Sun, Guangxuan Xu, Jiawen Deng, et al.*2022 · 102 citations*
16. **[Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions](https://md.research.elamur.ai/free/en/papers/li-2024-eliciting-translation-ability-large-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiahuan Li, Hao Zhou, Shujian Huang, et al.*2024 · 99 citations*
17. **[Vocabulary Learning via Optimal Transport for Neural Machine Translation ↗](https://aclanthology.org/2021.acl-long.571/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Jingjing Xu et al.*2021 · 98 citations*
18. **[Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2022-prompt-based-connective-prediction-method/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zhou, Man Lan, Yuanbin Wu, et al.*2022 · 37 citations*
19. **[Vision-Language Models Can Self-Improve Reasoning via Reflection](https://md.research.elamur.ai/free/en/papers/cheng-2025-vision-language-models-can-self/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Kanzhi Cheng, Li YanTao, Fangzhi Xu, et al.*2025 · 35 citations*
20. **[Connective Prediction for Implicit Discourse Relation Recognition via Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/wu-2023-connective-prediction-implicit-discourse-relation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongyi Wu, Hao Zhou, Man Lan, et al.*2023 · 19 citations*
21. **[FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling](https://md.research.elamur.ai/free/en/papers/zhao-2025-fr-spec-accelerating-large-vocabulary/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weilin Zhao, Tengyu Pan, Xu Han, et al.*2025 · 15 citations*
22. [**MiniPLM: Knowledge Distillation for Pre-Training Language Models arXiv:2410.17215**Yuxian Gu, Hao Zhou, Fandong Meng, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/gu-2024-miniplm-knowledge-distillation-pre-training/)
23. **[MAVIS: Multi-Agent Video Retrieval via Structured Video Understanding](https://md.research.elamur.ai/free/en/papers/zhang-2026-mavis-multi-agent-video-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jie Zhang, Qilang Ye, Hao Zhou, et al.*2026 · 1 citation*
24. **[DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-dataarc-syndata-toolkit-unified-closed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhichao Shi, Cehao Yang, Hao Zhou, et al.*2026*
25. **[PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/shen-2026-pegrl-improving-machine-translation-post/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yunzhi Shen, Hao Zhou, Xin Huang, et al.*2026*
26. **[R³: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-r-3-end-end-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**YiFei Wang, Qizhi Pei, Jiangtao Feng, et al.*2026*