---
title: "Who cites Xiaohua Liu"
description: "331 papers of the Elamur Research library cite the works of Xiaohua Liu, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/xiaohua-liu/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaohua-liu/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Xiaohua Liu](https://md.research.elamur.ai/free/en/authors/xiaohua-liu/) / cited by

# Who cites Xiaohua Liu

350 citations of their works from 331 papers of our library (of the 140,884 whose bibliographies we read) · 25 with a page here, the most cited first · [← Xiaohua Liu](https://md.research.elamur.ai/free/en/authors/xiaohua-liu/)

1. [**Survey of Hallucination in Natural Language Generation**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,947 citations*](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/)
2. [**Named Entity Recognition in Tweets: An Experimental Study**Alan Ritter, Sam Clark, Mausam, et al.*2011 · 1,451 citations*](https://md.research.elamur.ai/free/en/papers/ritter-2011-named-entity-recognition-tweets-experimental/)
3. [**Bottom-Up Abstractive Summarization**Sebastian Gehrmann, Yuntian Deng, Alexander Rush*2018 · 939 citations*](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/)
4. [**Achieving Human Parity on Automatic Chinese to English News Translation**Hany Hassan, Anthony Aue, Chang Chen, et al.*2018 · 794 citations*](https://md.research.elamur.ai/free/en/papers/hassan-2018-achieving-human-parity-automatic-chinese/)
5. [**Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies**Max Grusky, Mor Naaman, Yoav Artzi*2018 · 778 citations*](https://md.research.elamur.ai/free/en/papers/grusky-2018-newsroom-dataset-1-3-million/)
6. [**Massive Exploration of Neural Machine Translation Architectures**Denny Britz, Anna Goldie, Minh-Thang Luong, et al.*2017 · 562 citations*](https://md.research.elamur.ai/free/en/papers/britz-2017-massive-exploration-neural-machine-translation/)
7. [**Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings**Nanyun Peng, Mark Dredze*2015 · 481 citations*](https://md.research.elamur.ai/free/en/papers/peng-2015-named-entity-recognition-chinese-social/)
8. [**What to do about bad language on the internet**Jacob Eisenstein*2013 · 469 citations*](https://md.research.elamur.ai/free/en/papers/eisenstein-2013-what-do-about-bad-language/)
9. [**Masked Language Model Scoring**Julian Salazar, Davis Liang, Toan Q. Nguyen, et al.*2020 · 444 citations*](https://md.research.elamur.ai/free/en/papers/salazar-2020-masked-language-model-scoring/)
10. [**Document-Level Neural Machine Translation with Hierarchical Attention Networks**Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, et al.*2018 · 411 citations*](https://md.research.elamur.ai/free/en/papers/miculicich-2018-document-level-neural-machine-translation/)
11. [**Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks**Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.*2018 · 376 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2018-paragraph-level-neural-question-generation/)
12. [**FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization**Esin Durmus, He He, Mona Diab*2020 · 350 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2020-feqa-question-answering-evaluation-framework/)
13. [**A Graph-to-Sequence Model for AMR-to-Text Generation**Linfeng Song, Yue Zhang, Zhiguo Wang, et al.*2018 · 329 citations*](https://md.research.elamur.ai/free/en/papers/song-2018-graph-sequence-model-amr-text/)
14. [**Globally Coherent Text Generation with Neural Checklist Models**Chloé Kiddon, Luke Zettlemoyer, Yejin Choi*2016 · 301 citations*](https://md.research.elamur.ai/free/en/papers/kiddon-2016-globally-coherent-text-generation-neural/)
15. [**Bridging the Gap between Training and Inference for Neural Machine Translation**Wen Zhang, Yang Feng, Fandong Meng, et al.*2019 · 298 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-bridging-gap-between-training-inference/)
16. [**Exploiting Cross-Sentence Context for Neural Machine Translation**Longyue Wang, Zhaopeng Tu, Andy Way, et al.*2017 · 291 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-exploiting-cross-sentence-context-neural/)
17. [**Text Generation from Knowledge Graphs with Graph Transformers**Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, et al.*2019 · 284 citations*](https://md.research.elamur.ai/free/en/papers/kedziorski-2019-text-generation-knowledge-graphs-graph/)
18. [**Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters**Olutobi Owoputi, Brendan O'Connor, Chris Dyer, et al.*2013 · 243 citations*](https://md.research.elamur.ai/free/en/papers/owoputi-2013-improved-part-speech-tagging-online/)
19. [**Jointly Learning to Align and Translate with Transformer Models**Sarthak Garg, Stephan Peitz, Udhyakumar Nallasamy, et al.*2019 · 199 citations*](https://md.research.elamur.ai/free/en/papers/garg-2019-jointly-learning-align-translate-transformer/)
20. [**Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder**Huadong Chen, Shujian Huang, David Chiang, et al.*2017 · 192 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-improved-neural-machine-translation-syntax/)
21. [**Evaluating prose style transfer with the Bible**Keith Carlson, Allen Riddell, Daniel Rockmore*2017 · 77 citations*](https://md.research.elamur.ai/free/en/papers/carlson-2017-evaluating-prose-style-transfer-bible/)
22. [**Multi-Domain Dialogue Acts and Response Co-Generation**Kai Wang, Junfeng Tian, Rui Wang, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/)
23. [**Neural Decipherment via Minimum-Cost Flow: From Ugaritic to Linear B**Jiaming Luo, Yuan Cao, Regina Barzilay*2019 · 43 citations*](https://md.research.elamur.ai/free/en/papers/luo-2019-neural-decipherment-minimum-cost-flow/)
24. [**Noise-Robust Morphological Disambiguation for Dialectal Arabic**Nasser Zalmout, Alexander Erdmann, Nizar Habash*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2018-noise-robust-morphological-disambiguation-dialectal/)
25. [**Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?**Kelly Dekker, Rob van der Goot*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/dekker-2020-synthetic-data-english-lexical-normalization/)

306 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/xiaohua-liu/) — Xiaohua Liu