---
title: "Yuxing Tian · Université de Montréal — author profile and papers"
description: "Yuxing Tian, Université de Montréal: 3 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/yuxing-tian/"
---
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# Yuxing Tian

Yuxing Tian 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Weixu Zhang](https://md.research.elamur.ai/free/en/authors/weixu-zhang/), [Haolun Wu](https://md.research.elamur.ai/free/en/authors/haolun-wu/), [Fanghua Ye](https://md.research.elamur.ai/free/en/authors/fanghua-ye/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5111065404) · [ORCID](https://orcid.org/0009-0008-0313-5089) · [**h-index 3**](https://openalex.org/authors/A5111065404) · [18 works](https://openalex.org/works?filter=author.id:A5111065404) · [61 citations](https://openalex.org/works?filter=author.id:A5111065404&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yuxing-tian/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12164](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12164)

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

## Affiliations

[🎓**Université de Montréal** Montreal · Canada 2025–2026 · 8 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/)

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 6 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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-context-fidelity-boosting-enhancing-faithful/)** *(2026 · 1 citation)* When LLMs answer questions or summarize from a supplied passage, they often fall back on knowledge memorized in pretraining.
2. **[Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization](https://md.research.elamur.ai/free/en/papers/zhang-2026-preference-heads-large-language-models/)** *(2026 · 1 citation)* LLMs can adapt to a user's tone and topical interests, but current personalization methods (prompting, retrieval of user profiles, fine-tuning) treat this ability as a black box.
3. **[ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting](https://md.research.elamur.ai/free/en/papers/tian-2026-reattn-improving-attention-based-re/)** *(2026 · 1 citation)* Attention-based re-ranking scores candidate documents from an LLM's internal attention rather than from generated output.

## Co-authors here

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

- [Weixu Zhang](https://md.research.elamur.ai/free/en/authors/weixu-zhang/) ×3
- [Haolun Wu](https://md.research.elamur.ai/free/en/authors/haolun-wu/) ×2
- [Fanghua Ye](https://md.research.elamur.ai/free/en/authors/fanghua-ye/)
- [Fengran Mo](https://md.research.elamur.ai/free/en/authors/fengran-mo/)
- [Jian Li](https://md.research.elamur.ai/free/en/authors/jian-li/)
- [Jian-Yun Nie](https://md.research.elamur.ai/free/en/authors/jian-yun-nie/)
- [Nan Du](https://md.research.elamur.ai/free/en/authors/nan-du/)
- [Xiaolong Li](https://md.research.elamur.ai/free/en/authors/xiaolong-li/)
- [Xue Liu](https://md.research.elamur.ai/free/en/authors/xue-liu/)
- [Ye Yuan](https://md.research.elamur.ai/free/en/authors/ye-yuan/)
- [Yiyan Qi](https://md.research.elamur.ai/free/en/authors/yiyan-qi/)

## 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/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
