---
title: "Linbo Cao — author profile and papers — Elamur Research"
description: "Linbo Cao, Tianjin University of Technology: 2 papers on Elamur Research (2024–2025), h-index 4 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/linbo-cao/"
---
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# Linbo Cao

Linbo Cao has 2 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/), [Yining Wang](https://md.research.elamur.ai/free/en/authors/yining-wang/), [Shuhao Guan](https://md.research.elamur.ai/free/en/authors/shuhao-guan/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5113406759) · [ORCID](https://orcid.org/0009-0000-6998-0885) · [**h-index 4**](https://openalex.org/authors/A5113406759) · [20 works](https://openalex.org/works?filter=author.id:A5113406759) · [90 citations](https://openalex.org/works?filter=author.id:A5113406759&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/linbo-cao/#papers) · [🔗 Cited 19 times in our library](https://md.research.elamur.ai/free/en/authors/linbo-cao/cited-by/) · [⭐ Paper Stars ranking: #8883](https://md.research.elamur.ai/free/en/paper-stars/page/89/#star-8883)

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

## Affiliations

[🎓**Harbin Engineering University** Harbin · China 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-engineering-university/) · [🎓**Tianjin University of Technology** Tianjin · China 2025–2026 · 4 papers*current*](https://ror.org/00zbe0w13) · [🎓**University of Waterloo** Waterloo · Canada 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/)

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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 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/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/linbo-cao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/linbo-cao/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-uora-uniform-orthogonal-reinitialization-adaptation/)** *(2025 · 14 citations)* Fully fine-tuning large models is expensive in compute and in storage for per-task checkpoints. LoRA lowers this cost by training low-rank matrices. VeRA goes further: it freezes random projection matrices and trains only two scaling vectors, but it needs a high rank to stay competitive, which raises computation. The…
2. **[Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas](https://md.research.elamur.ai/free/en/papers/zhao-2024-role-play-paradox-large-language/)** *(2024 · 9 citations)* Role-play prompting, where an LLM is told to act as a teacher, scriptwriter, or even an object like a coin, is known to improve reasoning.

## Co-authors here

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

- [Jinman Zhao](https://md.research.elamur.ai/free/en/authors/jinman-zhao/) ×2
- [Yining Wang](https://md.research.elamur.ai/free/en/authors/yining-wang/) ×2
- [Shuhao Guan](https://md.research.elamur.ai/free/en/authors/shuhao-guan/)
- [Xueyan Zhang](https://md.research.elamur.ai/free/en/authors/xueyan-zhang/)
- [Yulan Hu](https://md.research.elamur.ai/free/en/authors/yulan-hu/)
- [Zeyu Zhang](https://md.research.elamur.ai/free/en/authors/zeyu-zhang/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)

## Cited by

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/linbo-cao/cited-by/).

Updated 1 November 2026
