---
title: "Tianzhe Zhao — author profile and papers — Elamur Research"
description: "Tianzhe Zhao, Xi'an Jiaotong University: 2 papers on Elamur Research (2023–2026), h-index 6 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/tianzhe-zhao/"
---
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# Tianzhe Zhao

Tianzhe Zhao has 2 papers in our library, in 2023–2026, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/), [Fangzhi Xu](https://md.research.elamur.ai/free/en/authors/fangzhi-xu/), [Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5034779671) · [ORCID](https://orcid.org/0000-0002-2879-2703) · [**h-index 6**](https://openalex.org/authors/A5034779671) · [15 works](https://openalex.org/works?filter=author.id:A5034779671) · [193 citations](https://openalex.org/works?filter=author.id:A5034779671&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tianzhe-zhao/#papers) · [🔗 Cited 70 times in our library](https://md.research.elamur.ai/free/en/authors/tianzhe-zhao/cited-by/) · [⭐ Paper Stars ranking: #7576](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7576)

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

## Affiliations

[🎓**Xi'an Jiaotong University** Xi'an · China 2022–2025 · 13 papers*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/)

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 · 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 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/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/tianzhe-zhao/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/tianzhe-zhao/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/)** *(2023 · 142 citations)* The paper asks whether current LLMs reason logically or mostly rely on surface patterns and memorized benchmark content.
2. **[G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning](https://md.research.elamur.ai/free/en/papers/pan-2026-g-hirel-enhancing-adaption-knowledge/)** *(2026)* Large language models struggle when facts change after training: retraining or editing weights is expensive and scales poorly, and in-context injection of edited facts often fails on multi-hop questions.

## Co-authors here

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

- [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/)
- [Fangzhi Xu](https://md.research.elamur.ai/free/en/authors/fangzhi-xu/)
- [Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/)
- [Jun Liu](https://md.research.elamur.ai/free/en/authors/jun-liu/)
- [Lingling Zhang](https://md.research.elamur.ai/free/en/authors/lingling-zhang/)
- [Qika Lin](https://md.research.elamur.ai/free/en/authors/qika-lin/)
- [Yixin Chen](https://md.research.elamur.ai/free/en/authors/yixin-chen/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/): [IEEE Transactions on Knowledge and Data Engineering 2023](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2023/)

## Cited by

Papers of our library cite their works 70 times (of the 149,439 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tianzhe-zhao/cited-by/).

Updated 2 November 2026
