---
title: "Mingkai Deng — author profile and papers · Text generation"
description: "Mingkai Deng, Carnegie Mellon University: 2 papers on Elamur Research (2021–2022), h-index 3 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/mingkai-deng/"
---
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# Mingkai Deng

Mingkai Deng has 2 papers in our library, in 2021–2022, most of them on [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Eric Xing](https://md.research.elamur.ai/free/en/authors/eric-xing/), [Zhiting Hu](https://md.research.elamur.ai/free/en/authors/zhiting-hu/), [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/).

2 papers in our library · 2021–2022

[OpenAlex](https://openalex.org/A5006031253) · [ORCID](https://orcid.org/0009-0007-0517-8253) · [**h-index 3**](https://openalex.org/authors/A5006031253) · [6 works](https://openalex.org/works?filter=author.id:A5006031253) · [184 citations](https://openalex.org/works?filter=author.id:A5006031253&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mingkai-deng/#papers) · [🔗 Cited 218 times in our library](https://md.research.elamur.ai/free/en/authors/mingkai-deng/cited-by/) · [⭐ Paper Stars ranking: #3638](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3638)

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=Mingkai+Deng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mingkai+Deng) · [dblp](https://dblp.org/search?q=Mingkai+Deng) · [ACL Anthology](https://aclanthology.org/search/?q=Mingkai+Deng)

## Affiliations

[🎓**Carnegie Mellon University** Pittsburgh · United States 2022–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of California San Diego** San Diego · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/)

## Works by year

### 2020s

[**2022** 1 paper RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/) · [**2021** 1 paper Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation](https://md.research.elamur.ai/free/en/papers/deng-2021-compression-transduction-creation-unified-framework/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deng-2022-rlprompt-optimizing-discrete-text-prompts/)** *(2022 · 328 citations)* The paper addresses the challenge of automatically finding effective discrete text prompts for frozen pre-trained language models.
2. **[Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation](https://md.research.elamur.ai/free/en/papers/deng-2021-compression-transduction-creation-unified-framework/)** *(2021 · 101 citations)* Automatic evaluation of natural language generation is difficult because tasks pursue different goals, and most existing metrics are built for a single task from ad hoc intuitions.

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Eric Xing](https://md.research.elamur.ai/free/en/authors/eric-xing/) ×2
- [Zhiting Hu](https://md.research.elamur.ai/free/en/authors/zhiting-hu/) ×2
- [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/)
- [Jianyu Wang](https://md.research.elamur.ai/free/en/authors/jianyu-wang/)
- [Zhengzhong Liu](https://md.research.elamur.ai/free/en/authors/zhengzhong-liu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/), [EMNLP 2021](https://md.research.elamur.ai/free/en/venues/emnlp/2021/)

## Cited by

Papers of our library cite their works 218 times (of the 141,840 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mingkai-deng/cited-by/).

Updated 24 October 2026
