---
title: "Xinyue Zhang — author profile and papers — Elamur Research"
description: "Xinyue Zhang, Beijing Institute of Technology: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/xinyue-zhang/"
---
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# Xinyue Zhang

Xinyue Zhang has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ping Jian](https://md.research.elamur.ai/free/en/authors/ping-jian/), [Zhen Yang](https://md.research.elamur.ai/free/en/authors/zhen-yang/), [Chengzhi Li](https://md.research.elamur.ai/free/en/authors/chengzhi-li/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139758007) · [**h-index 1**](https://openalex.org/authors/A5139758007) · [4 works](https://openalex.org/works?filter=author.id:A5139758007) · [1 citations](https://openalex.org/works?filter=author.id:A5139758007&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xinyue-zhang/#papers) · [⭐ Paper Stars ranking: #13380](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13380)

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

## Affiliations

[🎓**Beijing Institute of Technology** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/)

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).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [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.[Interpretability · 2 works](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 2 works](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

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/xinyue-zhang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study](https://md.research.elamur.ai/free/en/papers/yang-2026-how-do-llms-vlms-understand/)** *(2026)* The paper asks whether language alone, without images, lets LLMs and VLMs track how a viewpoint changes after a series of turns.
2. **[Temporal Token Matters: Investigating and Interpreting the Consistency of Temporal Ordering in Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-temporal-token-matters-investigating-interpreting/)** *(2026)* Large language models often contradict themselves on simple event-ordering questions. Rephrasing "Is A before B?" as "Is A after B?" can produce incoherent answers. The authors examine how models handle this task internally, using a three-stage Identify-Interpret-Verify approach. For a clean testbed, they used GPT-4o…
3. **[Where CoT Reasoning Commits: Entropy Traces Identify Interpretable Attention Heads](https://md.research.elamur.ai/free/en/papers/zhang-2026-where-cot-reasoning-commits-entropy/)** *(2026)* Chain-of-thought output does not show which internal components decide the final answer, and PEFT methods such as LoRA rarely explain why particular parameters work well as adaptation targets.

## Co-authors here

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

- [Ping Jian](https://md.research.elamur.ai/free/en/authors/ping-jian/) ×3
- [Zhen Yang](https://md.research.elamur.ai/free/en/authors/zhen-yang/) ×3
- [Chengzhi Li](https://md.research.elamur.ai/free/en/authors/chengzhi-li/) ×2
- [Wenpeng Lu](https://md.research.elamur.ai/free/en/authors/wenpeng-lu/) ×2
- [Yonghong Deng](https://md.research.elamur.ai/free/en/authors/yonghong-deng/) ×2
- [Zhongbin Guo](https://md.research.elamur.ai/free/en/authors/zhongbin-guo/) ×2

## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

Updated 2 November 2026
