---
title: "Zhengyin Du · ByteDance — author profile and papers"
description: "Zhengyin Du, ByteDance: 3 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/zhengyin-du/"
---
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# Zhengyin Du

Zhengyin Du has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Xuesong Yao](https://md.research.elamur.ai/free/en/authors/xuesong-yao/), [Yufei Xu](https://md.research.elamur.ai/free/en/authors/yufei-xu/), [Jiecao Chen](https://md.research.elamur.ai/free/en/authors/jiecao-chen/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5129673065) · [**h-index 0**](https://openalex.org/authors/A5129673065) · [1 works](https://openalex.org/works?filter=author.id:A5129673065) · [0 citations](https://openalex.org/works?filter=author.id:A5129673065&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhengyin-du/#papers) · [🔗 Cited 21 times in our library](https://md.research.elamur.ai/free/en/authors/zhengyin-du/cited-by/) · [⭐ Paper Stars ranking: #8678](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8678)

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

## Affiliations

[🏢**ByteDance** Beijing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/bytedance/)

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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use](https://md.research.elamur.ai/free/en/papers/ye-2025-toolhop-query-driven-benchmark-evaluating/)** *(2025 · 15 citations)* Benchmarks for LLM tool use rarely test true multi-hop behaviour. Most build datasets tool-first: they gather tools and then synthesize queries for them. Such tools often do not depend on one another, and answers cannot be checked reliably, so evaluation falls back on model-based judging, which carries bias. ToolHop…
2. **[Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments](https://md.research.elamur.ai/free/en/papers/ye-2026-feedback-driven-tool-use-improvements/)** *(2026 · 6 citations)* Training LLMs to call tools with reinforcement learning is difficult for two reasons. Online APIs make training environments unstable and costly to maintain, and judging trajectories usually requires a strong LLM as evaluator, which brings bias. The authors propose FTRL, which removes both problems. An automated…
3. **[Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?](https://md.research.elamur.ai/free/en/papers/yan-2025-recitation-over-reasoning-how-cutting/)** *(2025 · 5 citations)* The paper asks whether frontier LLMs actually reason through simple problems or mostly reproduce memorized solution templates.

## Co-authors here

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

- [Xuesong Yao](https://md.research.elamur.ai/free/en/authors/xuesong-yao/) ×3
- [Yufei Xu](https://md.research.elamur.ai/free/en/authors/yufei-xu/) ×3
- [Jiecao Chen](https://md.research.elamur.ai/free/en/authors/jiecao-chen/) ×2
- [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/) ×2
- [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) ×2
- [Tao Gui](https://md.research.elamur.ai/free/en/authors/tao-gui/) ×2
- [Zhiheng Xi](https://md.research.elamur.ai/free/en/authors/zhiheng-xi/) ×2
- [Siyu Yuan](https://md.research.elamur.ai/free/en/authors/siyu-yuan/)
- [Xiaoran Fan](https://md.research.elamur.ai/free/en/authors/xiaoran-fan/)
- [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/)
- [Zehui Chen](https://md.research.elamur.ai/free/en/authors/zehui-chen/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/): [IJCNLP 2025](https://md.research.elamur.ai/free/en/venues/ijcnlp/2025/)

## Cited by

Papers of our library cite their works 21 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhengyin-du/cited-by/).

Updated 30 October 2026
