---
title: "ByteDance Seed — author profile and papers · Reasoning"
description: "ByteDance Seed: 2 papers on Elamur Research (2025), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/bytedance-seed/"
---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / ByteDance Seed

# ByteDance Seed

ByteDance Seed has 2 papers in our library, in 2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chengyi Wang](https://md.research.elamur.ai/free/en/authors/chengyi-wang/), [Daoguang Zan](https://md.research.elamur.ai/free/en/authors/daoguang-zan/), [Jiaze Chen](https://md.research.elamur.ai/free/en/authors/jiaze-chen/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5120493044) · [**h-index 1**](https://openalex.org/authors/A5120493044) · [4 works](https://openalex.org/works?filter=author.id:A5120493044) · [4 citations](https://openalex.org/works?filter=author.id:A5120493044&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/bytedance-seed/#papers) · [🔗 Cited 83 times in our library](https://md.research.elamur.ai/free/en/authors/bytedance-seed/cited-by/) · [⭐ Paper Stars ranking: #8187](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8187)

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

## Fields, topics and concepts

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

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 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/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/bytedance-seed/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/)** *(2025 · 62 citations)* Seed1.5-Thinking is a reasoning model from ByteDance Seed. It works through an extended chain of thought before giving its answer. The authors identify three factors behind strong reasoning models: training data, a stable RL algorithm and scalable RL infrastructure.
2. **[Seed-Coder: Let the Code Model Curate Data for Itself](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed-coder-let-code/)** *(2025 · 25 citations)* Open code LLMs usually build their pretraining corpora with human-designed heuristics, such as per-language filtering rules or quality classifiers trained on human labels.

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Chengyi Wang](https://md.research.elamur.ai/free/en/authors/chengyi-wang/)
- [Daoguang Zan](https://md.research.elamur.ai/free/en/authors/daoguang-zan/)
- [Jiaze Chen](https://md.research.elamur.ai/free/en/authors/jiaze-chen/)
- [Jing Su](https://md.research.elamur.ai/free/en/authors/jing-su/)
- [Jinhua Zhu](https://md.research.elamur.ai/free/en/authors/jinhua-zhu/)
- [Kaibo Liu](https://md.research.elamur.ai/free/en/authors/kaibo-liu/)
- [Lingjun Liu](https://md.research.elamur.ai/free/en/authors/lingjun-liu/)
- [Mingxuan Wang](https://md.research.elamur.ai/free/en/authors/mingxuan-wang/)
- [Tao Sun](https://md.research.elamur.ai/free/en/authors/tao-sun/)
- [Tiantian Fan](https://md.research.elamur.ai/free/en/authors/tiantian-fan/)
- [Wenyuan Xu](https://md.research.elamur.ai/free/en/authors/wenyuan-xu/)
- [Xiangpeng Wei](https://md.research.elamur.ai/free/en/authors/xiangpeng-wei/)

## Cited by

Papers of our library cite their works 83 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/bytedance-seed/cited-by/).

Updated 2 November 2026
