---
title: "Rui Hou — author profile and papers — Elamur Research"
description: "Rui Hou, University of Electronic Science and Technology of China: 4 papers on Elamur Research (2022–2024), h-index 7 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/rui-hou/"
---
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# Rui Hou

Rui Hou has 4 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Madian Khabsa](https://md.research.elamur.ai/free/en/authors/madian-khabsa/), [Yuning Mao](https://md.research.elamur.ai/free/en/authors/yuning-mao/), [Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/).

4 papers in our library · 2022–2024

[OpenAlex](https://openalex.org/A5103219508) · [ORCID](https://orcid.org/0000-0002-1320-1894) · [**h-index 7**](https://openalex.org/authors/A5103219508) · [19 works](https://openalex.org/works?filter=author.id:A5103219508) · [249 citations](https://openalex.org/works?filter=author.id:A5103219508&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/rui-hou/#papers) · [🔗 Cited 368 times in our library](https://md.research.elamur.ai/free/en/authors/rui-hou/cited-by/) · [⭐ Paper Stars ranking: #3248](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3248)

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

## Affiliations

[🎓**University of Electronic Science and Technology of China** Chengdu · China 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Chengdu University of Technology** Chengdu · China 2020–2021 · 2 papers](https://ror.org/05pejbw21)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## Concepts, shelves and topics

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2024** 1 paper MART: Improving LLM Safety with Multi-round Automatic Red-Teaming](https://md.research.elamur.ai/free/en/papers/ge-2024-mart-improving-llm-safety-multi/) · [**2023** 2 papers Rui Hou's papers of 2023](https://md.research.elamur.ai/free/en/authors/rui-hou/year/2023/) · [**2022** 1 paper UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning](https://md.research.elamur.ai/free/en/papers/mao-2022-unipelt-unified-framework-parameter-efficient/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Effective Long-Context Scaling of Foundation Models](https://md.research.elamur.ai/free/en/papers/xiong-2023-effective-long-context-scaling-foundation/)** *(2023 · 177 citations)* In 2023, strong long-input handling was mostly available through proprietary APIs. Earlier open attempts to extend context were usually judged only by perplexity or synthetic probes, and they often lost quality on short tasks. This Meta paper introduces Llama 2 Long, a family of 7B–70B models built by continuing to…
2. **[UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning](https://md.research.elamur.ai/free/en/papers/mao-2022-unipelt-unified-framework-parameter-efficient/)** *(2022 · 162 citations)* Parameter-efficient language model tuning (PELT) methods adapt a frozen pre-trained model by training only a tiny set of parameters.
3. **[XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models](https://md.research.elamur.ai/free/en/papers/liang-2023-xlm-v-overcoming-vocabulary-bottleneck/)** *(2023 · 117 citations)* Multilingual encoders such as XLM-R have grown in depth and parameter count, yet their vocabularies have stayed near 250K tokens shared by more than 100 languages.
4. **[MART: Improving LLM Safety with Multi-round Automatic Red-Teaming](https://md.research.elamur.ai/free/en/papers/ge-2024-mart-improving-llm-safety-multi/)** *(2024 · 79 citations)* Making LLMs safe usually depends on human red-teaming, where many annotators spend months writing attack prompts and safe answers.

## Co-authors here

12 of 21 co-authors with a page, the most papers together first.

- [Madian Khabsa](https://md.research.elamur.ai/free/en/authors/madian-khabsa/) ×4
- [Yuning Mao](https://md.research.elamur.ai/free/en/authors/yuning-mao/) ×3
- [Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/) ×2
- [Amjad Almahairi](https://md.research.elamur.ai/free/en/authors/amjad-almahairi/)
- [Barlas Oguz](https://md.research.elamur.ai/free/en/authors/barlas-oguz/)
- [Chunting Zhou](https://md.research.elamur.ai/free/en/authors/chunting-zhou/)
- [Davis Liang](https://md.research.elamur.ai/free/en/authors/davis-liang/)
- [Han Fang](https://md.research.elamur.ai/free/en/authors/han-fang/)
- [Hila Gonen](https://md.research.elamur.ai/free/en/authors/hila-gonen/)
- [Jingyu Liu](https://md.research.elamur.ai/free/en/authors/jingyu-liu/)
- [Louis Martin](https://md.research.elamur.ai/free/en/authors/louis-martin/)
- [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2022](https://md.research.elamur.ai/free/en/venues/acl/2022/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2024](https://md.research.elamur.ai/free/en/venues/naacl/2024/)

## Cited by

Papers of our library cite their works 368 times (of the 141,840 papers whose bibliographies we read); [51 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/rui-hou/cited-by/).

Updated 24 October 2026
