---
title: "Tengyang Xie — author profile and papers — Elamur Research"
description: "Tengyang Xie, University of Wisconsin–Madison: 2 papers on Elamur Research (2024), h-index 9 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/tengyang-xie/"
---
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# Tengyang Xie

Tengyang Xie has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Ahmed Hassan Awadallah](https://md.research.elamur.ai/free/en/authors/ahmed-hassan-awadallah/), [Arindam Mitra](https://md.research.elamur.ai/free/en/authors/arindam-mitra/), [Corby Rosset](https://md.research.elamur.ai/free/en/authors/corby-rosset/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5061481788) · [**h-index 9**](https://openalex.org/authors/A5061481788) · [36 works](https://openalex.org/works?filter=author.id:A5061481788) · [268 citations](https://openalex.org/works?filter=author.id:A5061481788&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tengyang-xie/#papers) · [🔗 Cited 228 times in our library](https://md.research.elamur.ai/free/en/authors/tengyang-xie/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6773](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6773)

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

## Affiliations

[🎓**University of Wisconsin–Madison** Madison · United States 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2018–2022 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## 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 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/tengyang-xie/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/wang-2024-interpretable-preferences-multi-objective-reward/)** *(2024 · 153 citations)* Reward models (RMs) in RLHF usually learn from binary pairwise preferences with a Bradley-Terry objective.
2. **[Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences](https://md.research.elamur.ai/free/en/papers/rosset-2024-direct-nash-optimization-teaching-language/)** *(2024 · 44 citations)* Standard RLHF, and contrastive shortcuts such as DPO, assume that preferences derive from a scalar reward (e.g., the Bradley-Terry model).

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/wang-2024-interpretable-preferences-multi-objective-reward/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoxiang Wang, Wei Xiong, Tengyang Xie, et al.*2024 · 153 citations*
2. **[Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data ↗](https://arxiv.org/abs/2404.14367) arXiv (Cornell University) · no summary yet**Fahim Tajwar et al.*2024 · 54 citations*
3. [**Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences arXiv:2404.03715**Corby Rosset, Ching-An Cheng, Arindam Mitra, et al.*2024 · 44 citations*](https://md.research.elamur.ai/free/en/papers/rosset-2024-direct-nash-optimization-teaching-language/)

## Co-authors here

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

- [Ahmed Hassan Awadallah](https://md.research.elamur.ai/free/en/authors/ahmed-hassan-awadallah/)
- [Arindam Mitra](https://md.research.elamur.ai/free/en/authors/arindam-mitra/)
- [Corby Rosset](https://md.research.elamur.ai/free/en/authors/corby-rosset/)
- [Han Zhao](https://md.research.elamur.ai/free/en/authors/han-zhao/)
- [Haoxiang Wang](https://md.research.elamur.ai/free/en/authors/haoxiang-wang/)
- [Michael Santacroce](https://md.research.elamur.ai/free/en/authors/michael-santacroce/)
- [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/)
- [Wei Xiong](https://md.research.elamur.ai/free/en/authors/wei-xiong/)

## 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 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/)

## Cited by

Papers of our library cite their works 228 times (of the 149,439 papers whose bibliographies we read); [76 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tengyang-xie/cited-by/).

Updated 3 November 2026
