---
title: "Jianhui Pang · University of Macau — author profile and papers"
description: "Jianhui Pang, University of Macau: 3 papers on Elamur Research (2024–2025), h-index 4 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/jianhui-pang/"
---
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# Jianhui Pang

Jianhui Pang has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Derek F. Wong](https://md.research.elamur.ai/free/en/authors/derek-f-wong/), [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/), [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5093784845) · [**h-index 4**](https://openalex.org/authors/A5093784845) · [6 works](https://openalex.org/works?filter=author.id:A5093784845) · [64 citations](https://openalex.org/works?filter=author.id:A5093784845&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jianhui-pang/#papers) · [🔗 Cited 255 times in our library](https://md.research.elamur.ai/free/en/authors/jianhui-pang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5766](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5766)

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

## Affiliations

[🎓**University of Macau** Macao · China 2024–2025 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-macau/) · [🏢**Tencent** Shenzhen · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/tencent/)

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

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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 · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jianhui-pang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jianhui-pang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs](https://md.research.elamur.ai/free/en/papers/chen-2024-think-that-much-2-3/)** *(2024 · 192 citations)* Reasoning models in the o1 family get better accuracy by writing very long chains of thought. This paper argues that much of that extra test-time compute is wasted. The authors call the waste "overthinking": after a model already has the right answer to a trivial question, it keeps producing new solution attempts.…
2. **[Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models](https://md.research.elamur.ai/free/en/papers/pang-2025-salute-classic-revisiting-challenges-machine/)** *(2025 · 65 citations)* The paper asks whether the six classic obstacles for neural MT identified by Koehn and Knowles (2017) still apply when translation is done by decoder-only LLMs.
3. **[Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-harnessing-reasoning-economy-survey-efficient/)** *(2025 · 16 citations)* Large Reasoning Models such as OpenAI o1, DeepSeek R1 and QwQ solve hard math and coding problems by producing long chains of thought.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs arXiv:2412.21187**Xingyu Chen, Jiahao Xu, Tian Liang, et al.*2024 · 192 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-think-that-much-2-3/)
2. **[Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models](https://md.research.elamur.ai/free/en/papers/pang-2025-salute-classic-revisiting-challenges-machine/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jianhui Pang, Fanghua Ye, Derek Fai Wong, et al.*2025 · 65 citations*
3. **[Benchmarking and Improving Long-Text Translation with Large Language Models ↗](https://aclanthology.org/2024.findings-acl.428/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Longyue Wang et al.*2024 · 26 citations*
4. [**Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models arXiv:2503.24377**Rui Wang, Hongru Wang, Boyang Xue, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-harnessing-reasoning-economy-survey-efficient/)

## Co-authors here

12 of 22 co-authors with a page, the most papers together first.

- [Derek F. Wong](https://md.research.elamur.ai/free/en/authors/derek-f-wong/) ×2
- [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/) ×2
- [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ×2
- [Zhaopeng Tu](https://md.research.elamur.ai/free/en/authors/zhaopeng-tu/) ×2
- [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/)
- [Fanghua Ye](https://md.research.elamur.ai/free/en/authors/fanghua-ye/)
- [Guanhua Chen](https://md.research.elamur.ai/free/en/authors/guanhua-chen/)
- [Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/)
- [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/)
- [Jiahao Xu](https://md.research.elamur.ai/free/en/authors/jiahao-xu/)
- [Kam-Fai Wong](https://md.research.elamur.ai/free/en/authors/kam-fai-wong/)
- [Linfeng Song](https://md.research.elamur.ai/free/en/authors/linfeng-song/)

## Venues

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

- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2025](https://md.research.elamur.ai/free/en/venues/tacl/2025/)
- Findings of the Association for Computational Linguistics: ACL 2024

## Cited by

Papers of our library cite their works 255 times (of the 149,439 papers whose bibliographies we read); [91 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jianhui-pang/cited-by/).

Updated 30 October 2026
