---
title: "Sizhe Wang — author profile and papers — Elamur Research"
description: "Sizhe Wang, Beijing Institute of Technology: 4 papers on Elamur Research (2024–2026), h-index 19 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/sizhe-wang/"
---
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# Sizhe Wang

Sizhe Wang has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Chenming Shang](https://md.research.elamur.ai/free/en/authors/chenming-shang/), [Chenyang Lu](https://md.research.elamur.ai/free/en/authors/chenyang-lu/), [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5101536427) · [ORCID](https://orcid.org/0000-0002-3385-5246) · [**h-index 19**](https://openalex.org/authors/A5101536427) · [85 works](https://openalex.org/works?filter=author.id:A5101536427) · [1,475 citations](https://openalex.org/works?filter=author.id:A5101536427&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/sizhe-wang/#papers) · [🔗 Cited 43 times in our library](https://md.research.elamur.ai/free/en/authors/sizhe-wang/cited-by/) · [⭐ Paper Stars ranking: #8659](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8659)

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

## Affiliations

[🎓**Arizona State University** Tempe · United States 2016–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**Tianjin University** Tianjin · China 2024–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**Washington University in St. Louis** St Louis · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/washington-university-in-st-louis/) · [🎓**Shaanxi University of Science and Technology** Xi'an · China 2025–2026 · 2 papers*current*](https://ror.org/034t3zs45) · [🎓**Beijing Institute of Technology** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Beihang University** Beijing · China 2021–2025 · 25 papersEmployment](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🔬**State Key Laboratory of Virtual Reality Technology and Systems** Beijing 2022–2025 · 18 papers](https://ror.org/0009eea46) · [🎓**Macao Polytechnic University** Macao · China 2022–2025 · 7 papers](https://ror.org/02sf5td35) · [🎓**University of Southern California** Los Angeles · United States 2023–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 11 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/sizhe-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/sizhe-wang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/sizhe-wang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning](https://md.research.elamur.ai/free/en/papers/tong-2024-can-llms-learn-previous-mistakes/)** *(2024 · 57 citations)* The paper asks whether large language models can improve their reasoning by learning from their own errors, rather than only imitating gold-standard Chain-of-Thought (CoT) rationales.
2. **[ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework](https://md.research.elamur.ai/free/en/papers/zhang-2025-shifcon-enhancing-non-dominant-language/)** *(2025 · 6 citations)* Multilingual LLMs fine-tuned on translated data (MSFT) still lag behind in non-dominant languages compared with English. Producing more high-quality translated supervision is costly and error-prone. ShifCon addresses this by changing how the model processes these languages internally rather than by adding data.
3. **[CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-codeflowbench-multi-turn-iterative-benchmark/)** *(2026 · 1 citation)* Most code-generation benchmarks test LLMs in a single turn, but real software is built step by step from modular functions that reuse earlier ones. The authors call this incremental, reuse-driven process "codeflow" and present CodeFlowBench as the first benchmark for evaluating it.
4. **[CURA: Clinical Uncertainty Risk Alignment for Language Model–Based Risk Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-cura-clinical-uncertainty-risk-alignment/)** *(2026)* Fine-tuned clinical language models can predict patient risk from free-text notes, but their confidence scores are often miscalibrated.

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Chenming Shang](https://md.research.elamur.ai/free/en/authors/chenming-shang/)
- [Chenyang Lu](https://md.research.elamur.ai/free/en/authors/chenyang-lu/)
- [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/)
- [Dongdong Zhang](https://md.research.elamur.ai/free/en/authors/dongdong-zhang/)
- [Feiyu Xiong](https://md.research.elamur.ai/free/en/authors/feiyu-xiong/)
- [Feng Yao](https://md.research.elamur.ai/free/en/authors/feng-yao/)
- [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/)
- [Hengyuan Zhang](https://md.research.elamur.ai/free/en/authors/hengyuan-zhang/)
- [Jingbo Shang](https://md.research.elamur.ai/free/en/authors/jingbo-shang/)
- [Renliang Sun](https://md.research.elamur.ai/free/en/authors/renliang-sun/)
- [Rui Ling](https://md.research.elamur.ai/free/en/authors/rui-ling/)
- [Wentao Zhang](https://md.research.elamur.ai/free/en/authors/wentao-zhang/)

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)

## Cited by

Papers of our library cite their works 43 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sizhe-wang/cited-by/).

Updated 2 November 2026
