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# Jiangming Liu

2 paper cards in Mova's library · 2020–2021

Jiangming Liu wrote 2 of the papers Mova reads, in 2020–2021, most of them on [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Ally Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/ally-zhang/), Ananth Gottumukkala, Ben Bogin.

[OpenAlex](https://openalex.org/A5014019150) · [ORCID](https://orcid.org/0000-0002-2178-2385) · [**h-index 12**](https://openalex.org/authors/A5014019150) · [952 citations](https://openalex.org/authors/A5014019150) · [40 works](https://openalex.org/works?filter=author.id:A5014019150) — openalex, 2026-10-18

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=Jiangming+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiangming+Liu) · [dblp](https://dblp.org/search?q=Jiangming+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Jiangming+Liu) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Jiangming+Liu)

Topics: [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Papers

1. **[Text Generation from Discourse Representation Structures](https://md.mova.elamur.ai/free/en/docs/papers/liu-2021-text-generation-discourse-representation-structures/)** *(2021)* The paper generates document text from DRSs on the Groningen Meaning Bank. Two problems make DRSs hard to generate from. First, the conditions of a box form a set, so one meaning can arrive in many orders; the paper learns a canonical order with a graph model (a graph neural network over conditions followed by a…
2. **[Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.mova.elamur.ai/free/en/docs/papers/gardner-2020-evaluating-models-local-decision-boundaries/)** *(2020)* `measured` Standard test sets come from the same distribution as the training data, so a dataset with systematic gaps or annotation artifacts lets models score well with shallow heuristics.

## Co-authors (27)

- [Ally Zhang](https://md.mova.elamur.ai/free/en/docs/papers/authors/ally-zhang/)
- Ananth Gottumukkala
- Ben Bogin
- Ben Zhou
- [Daniel Khashabi](https://md.mova.elamur.ai/free/en/docs/papers/authors/daniel-khashabi/)
- [Dheeru Dua](https://md.mova.elamur.ai/free/en/docs/papers/authors/dheeru-dua/)
- Eric Wallace
- Gabriel Ilharco
- [Hannaneh Hajishirzi](https://md.mova.elamur.ai/free/en/docs/papers/authors/hannaneh-hajishirzi/)
- Jonathan Berant
- Kevin Lin
- [Matt Gardner](https://md.mova.elamur.ai/free/en/docs/papers/authors/matt-gardner/)
- [Mirella Lapata](https://md.mova.elamur.ai/free/en/docs/papers/authors/mirella-lapata/)
- [Nelson F. Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/nelson-f-liu/)
- Nitish Gupta
- [Noah A. Smith](https://md.mova.elamur.ai/free/en/docs/papers/authors/noah-a-smith/)
- Phoebe Mulcaire
- [Pradeep Dasigi](https://md.mova.elamur.ai/free/en/docs/papers/authors/pradeep-dasigi/)
- [Qiang Ning](https://md.mova.elamur.ai/free/en/docs/papers/authors/qiang-ning/)
- [Reut Tsarfaty](https://md.mova.elamur.ai/free/en/docs/papers/authors/reut-tsarfaty/)
- [Sameer Singh](https://md.mova.elamur.ai/free/en/docs/papers/authors/sameer-singh/)
- Sanjay Subramanian
- [Shay B. Cohen](https://md.mova.elamur.ai/free/en/docs/papers/authors/shay-b-cohen/)
- Sihao Chen
- Victoria Basmov
- Yanai Elazar
- [Yoav Artzi](https://md.mova.elamur.ai/free/en/docs/papers/authors/yoav-artzi/)
- [← previous Jiaming Luo](https://md.mova.elamur.ai/free/en/docs/papers/authors/jiaming-luo/)
- [next → Jin Zhao](https://md.mova.elamur.ai/free/en/docs/papers/authors/jin-zhao/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)