---
title: "Yuan Zhuang — author profile and papers — Elamur Research"
description: "Yuan Zhuang, Amazon: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yuan-zhuang/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuan-zhuang/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuan Zhuang

# Yuan Zhuang

Yuan Zhuang has 2 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/); often with [Louie Hong Yao](https://md.research.elamur.ai/free/en/authors/louie-hong-yao/), [Shervin Malmasi](https://md.research.elamur.ai/free/en/authors/shervin-malmasi/), [Tianyu Jiang](https://md.research.elamur.ai/free/en/authors/tianyu-jiang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139749982) · [**h-index 0**](https://openalex.org/authors/A5139749982) · [3 works](https://openalex.org/works?filter=author.id:A5139749982) · [0 citations](https://openalex.org/works?filter=author.id:A5139749982&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuan-zhuang/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #13219](https://md.research.elamur.ai/free/en/paper-stars/page/133/#star-13219)

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

## Affiliations

[🏢**Amazon** Seattle · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[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** 2 papers](https://md.research.elamur.ai/free/en/authors/yuan-zhuang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Rhetorical Questions in LLM Representations: A Linear Probing Study](https://md.research.elamur.ai/free/en/papers/yao-2026-rhetorical-questions-llm-representations-linear/)** *(2026 · 1 citation)* The paper asks how large language models internally encode rhetorical questions, which are asked to persuade or express stance rather than to obtain information.
2. **[Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context](https://md.research.elamur.ai/free/en/papers/zhu-2026-text-distribution-prediction-quantile-tokens/)** *(2026)* Most LLM-based text regression outputs a single number. Tasks like pricing or demand forecasting need the whole conditional distribution. The authors treat this as text-to-distribution prediction. Each text input has several observed outcomes, which are converted into an empirical quantile function and interpolated…

## Co-authors here

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

- [Louie Hong Yao](https://md.research.elamur.ai/free/en/authors/louie-hong-yao/)
- [Shervin Malmasi](https://md.research.elamur.ai/free/en/authors/shervin-malmasi/)
- [Tianyu Jiang](https://md.research.elamur.ai/free/en/authors/tianyu-jiang/)
- [Yilun Zhu](https://md.research.elamur.ai/free/en/authors/yilun-zhu/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

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

Updated 2 November 2026
