---
title: "Shizhuo Dylan Zhang — author profile and papers in our library"
description: "Shizhuo Dylan Zhang, University of Illinois Urbana-Champaign: 2 papers on Elamur Research (2023–2024), h-index 3 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/shizhuo-dylan-zhang/"
---
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# Shizhuo Dylan Zhang

Shizhuo Dylan Zhang has 2 papers in our library, in 2023–2024, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Curt Tigges](https://md.research.elamur.ai/free/en/authors/curt-tigges/), [Di Luo](https://md.research.elamur.ai/free/en/authors/di-luo/), [Luyu Gao](https://md.research.elamur.ai/free/en/authors/luyu-gao/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5047577574) · [ORCID](https://orcid.org/0009-0009-8974-3356) · [**h-index 3**](https://openalex.org/authors/A5047577574) · [4 works](https://openalex.org/works?filter=author.id:A5047577574) · [143 citations](https://openalex.org/works?filter=author.id:A5047577574&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shizhuo-dylan-zhang/#papers) · [🔗 Cited 74 times in our library](https://md.research.elamur.ai/free/en/authors/shizhuo-dylan-zhang/cited-by/) · [⭐ Paper Stars ranking: #8603](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8603)

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

## Affiliations

[🎓**University of Illinois Urbana-Champaign** Urbana · United States 2023–2024 · 4 papers*current*](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.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/)

🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/shizhuo-dylan-zhang/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/shizhuo-dylan-zhang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SciCode: A Research Coding Benchmark Curated by Scientists](https://md.research.elamur.ai/free/en/papers/tian-2024-scicode-research-coding-benchmark/)** *(2024 · 75 citations)* Many established LM benchmarks are now saturated, and synthetic hard benchmarks may not reflect real use. SciCode tests whether models can write code for genuine research tasks in the natural sciences. Scientists from 16 subfields of mathematics, physics, chemistry, biology and materials science built the problems…
2. **[Can Transformers Learn to Solve Problems Recursively?](https://md.research.elamur.ai/free/en/papers/zhang-2023-transformers-learn-solve-problems-recursively/)** *(2023 · 17 citations)* This study asks whether small transformer models can learn to imitate structurally recursive functions purely from input-output examples.

## Co-authors here

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

- [Curt Tigges](https://md.research.elamur.ai/free/en/authors/curt-tigges/)
- [Di Luo](https://md.research.elamur.ai/free/en/authors/di-luo/)
- [Luyu Gao](https://md.research.elamur.ai/free/en/authors/luyu-gao/)
- [Stella Biderman](https://md.research.elamur.ai/free/en/authors/stella-biderman/)
- [Talia Ringer](https://md.research.elamur.ai/free/en/authors/talia-ringer/)
- [Yao Li](https://md.research.elamur.ai/free/en/authors/yao-li/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

## Cited by

Papers of our library cite their works 74 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shizhuo-dylan-zhang/cited-by/).

Updated 3 November 2026
