--- title: "Qun Liu — papers and cards" description: "Qun Liu: 3 paper cards in the Research library (2006–2014), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/qun-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qun-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qun Liu # Qun Liu 3 paper cards in the Research library · 2006–2014 Qun Liu wrote 3 of the papers Mova reads, in 2006–2014, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Shouxun Lin](https://md.research.elamur.ai/free/en/authors/shouxun-lin/), Haitao Mi, Hui Yu. [OpenAlex](https://openalex.org/A5100426170) · [ORCID](https://orcid.org/0000-0002-7000-1792) · [**h-index 15**](https://openalex.org/authors/A5100426170) · [911 citations](https://openalex.org/authors/A5100426170) · [79 works](https://openalex.org/works?filter=author.id:A5100426170) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Qun+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qun+Liu) · [dblp](https://dblp.org/search?q=Qun+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Qun+Liu) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Qun+Liu) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3 ## Papers 1. **[RED: A Reference Dependency Based MT Evaluation Metric](https://md.research.elamur.ai/free/en/papers/yu-2014-red-reference-dependency-based-mt/)** *(2014)* RED parses only the reference, never the hypothesis, so that parsing noise from the MT output does not enter the score. 2. **[Forest-Based Translation](https://md.research.elamur.ai/free/en/papers/mi-2008-forest-based-translation/)** *(2008)* Tree-based translation takes the 1-best parse of the source sentence as input. A parser error then becomes a translation error. The paper proposes decoding over a packed forest, a compact graph that holds exponentially many parses, instead of the single tree. A k-best list is shown to be a poor substitute: a 50-best… 3. **[Tree-to-String Alignment Template for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/liu-2006-tree-string-alignment-template-statistical/)** *(2006)* A tree-to-string alignment template (TAT) pairs a source parse subtree, with variables at some of its leaves, with a target string that uses the same variables. ## Co-authors (8) - [Shouxun Lin](https://md.research.elamur.ai/free/en/authors/shouxun-lin/) ×2 - Haitao Mi - Hui Yu - Jun Xie - [Liang Huang](https://md.research.elamur.ai/free/en/authors/liang-huang/) - [Wenbin Jiang](https://md.research.elamur.ai/free/en/authors/wenbin-jiang/) - Xiaofeng Wu - [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) ## More papers in the library (9) Pages of the Research library: our summary, the ideas, references and who cites each. - [MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/kwan-2024-mt-eval-multi-turn-capabilities/) — Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al. · 2024 - [Aligning Large Language Models with Human: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2023-aligning-large-language-models-human/) — Yufei Wang, Wanjun Zhong, Liangyou Li, et al. · 2023 - [MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages](https://md.research.elamur.ai/free/en/papers/zhang-2023-miracl-multilingual-retrieval-dataset-covering/) — Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al. · 2023 - [Word-level Textual Adversarial Attacking as Combinatorial Optimization](https://md.research.elamur.ai/free/en/papers/zang-2020-word-level-textual-adversarial-attacking/) — Yuan Zang, Fanchao Qi, Chenghao Yang, et al. · 2020 - [Bridging the Gap between Training and Inference for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2019-bridging-gap-between-training-inference/) — Wen Zhang, Yang Feng, Fandong Meng, et al. · 2019 - [Findings of the 2017 Conference on Machine Translation (WMT17)](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/) — Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al. · 2017 - [Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search](https://md.research.elamur.ai/free/en/papers/hokamp-2017-lexically-constrained-decoding-sequence-generation/) — Chris Hokamp, Qun Liu · 2017 - [Variational Neural Discourse Relation Recognizer](https://md.research.elamur.ai/free/en/papers/zhang-2016-variational-neural-discourse-relation-recognizer/) — Biao Zhang, Deyi Xiong, Jinsong Su, et al. · 2016 - [The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification](https://md.research.elamur.ai/free/en/papers/wang-2015-dcu-discourse-parser-connective-argument/) — Longyue Wang, Chris Hokamp, Tsuyoshi Okita, et al. · 2015