ByteDance Seed

ByteDance Seed has 2 papers in our library, in 2025, most of them on Reasoning; often with Chengyi Wang, Daoguang Zan, Jiaze Chen.

2 papers in our library · 2025

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

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

The most cited first (OpenAlex and our library).

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning (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.
Seed-Coder: Let the Code Model Curate Data for Itself (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.

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

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 →.

Updated 2 November 2026