---
title: "Taiwei Shi — author profile and papers — Elamur Research"
description: "Taiwei Shi, University of Southern California: 2 papers on Elamur Research (2023–2026), h-index 3 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/taiwei-shi/"
---
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# Taiwei Shi

Taiwei Shi 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/); often with [Caleb Ziems](https://md.research.elamur.ai/free/en/authors/caleb-ziems/), [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/), [Jieyu Zhao](https://md.research.elamur.ai/free/en/authors/jieyu-zhao/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5113985908) · [**h-index 3**](https://openalex.org/authors/A5113985908) · [16 works](https://openalex.org/works?filter=author.id:A5113985908) · [58 citations](https://openalex.org/works?filter=author.id:A5113985908&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/taiwei-shi/#papers) · [🔗 Cited 63 times in our library](https://md.research.elamur.ai/free/en/authors/taiwei-shi/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6694](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6694)

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

## Affiliations

[🎓**University of Southern California** Los Angeles · United States 2023–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**University of California San Diego** San Diego · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**University of Minnesota** Minneapolis · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-minnesota/) · [🎓**University of Wisconsin System** Madison · United States 2026 · 1 paper*current*](https://ror.org/03ydkyb10) · [🎓**University of Wisconsin–Madison** Madison · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/)

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 6 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/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation](https://md.research.elamur.ai/free/en/papers/li-2023-coannotating-uncertainty-guided-work-allocation/)** *(2023 · 101 citations)* Large language models such as ChatGPT can label text at zero-shot, cheaply and at scale. Earlier studies usually treated them as replacements for human annotators. This paper asks a different question: within one dataset, which items should go to the model and which to people? The proposed framework, CoAnnotating…
2. **[WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback](https://md.research.elamur.ai/free/en/papers/shi-2026-wildfeedback-aligning-llms-situ-user/)** *(2026 · 9 citations)* Aligning LLMs with human preferences usually depends on curated preference data. Human annotation is expensive and subjective, and GPT-4-labelled synthetic data can reinforce a model's own biases. WildFeedback instead builds preference data from feedback that real users give naturally while chatting with a model. The…

## All works

4 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. **[CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation](https://md.research.elamur.ai/free/en/papers/li-2023-coannotating-uncertainty-guided-work-allocation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzhi Li, Taiwei Shi, Caleb Ziems, et al.*2023 · 101 citations*
2. **[WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback](https://md.research.elamur.ai/free/en/papers/shi-2026-wildfeedback-aligning-llms-situ-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taiwei Shi, Zhuoer Wang, Longqi Yang, et al.*2026 · 9 citations*
3. **[Video-Based Reward Modeling for Computer-Use Agents ↗](https://doi.org/10.1007/978-3-032-37189-8_20) Lecture notes in computer science · no summary yet**Linxin Song et al.*2026*
4. **[DP-RFT: Learning to Generate Synthetic Text via Differentially Private Reinforcement Fine-Tuning ↗](https://arxiv.org/abs/2602.18633) arXiv (Cornell University) · no summary yet**Fangyuan Xu et al.*2026*

## Co-authors here

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

- [Caleb Ziems](https://md.research.elamur.ai/free/en/authors/caleb-ziems/)
- [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/)
- [Jieyu Zhao](https://md.research.elamur.ai/free/en/authors/jieyu-zhao/)
- [Longqi Yang](https://md.research.elamur.ai/free/en/authors/longqi-yang/)
- [Min-Yen Kan](https://md.research.elamur.ai/free/en/authors/min-yen-kan/)
- [Minzhi Li](https://md.research.elamur.ai/free/en/authors/minzhi-li/)
- [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/)
- [Pei Zhou](https://md.research.elamur.ai/free/en/authors/pei-zhou/)
- [Sihao Chen](https://md.research.elamur.ai/free/en/authors/sihao-chen/)
- [Sujay Kumar Jauhar](https://md.research.elamur.ai/free/en/authors/sujay-kumar-jauhar/)
- [Zhengyuan Liu](https://md.research.elamur.ai/free/en/authors/zhengyuan-liu/)

## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)
- Lecture notes in computer science

## Cited by

Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/taiwei-shi/cited-by/).

Updated 31 October 2026
