Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

Aoyan Li is publicly listed as an author on ByteDance Seed's Seed1.5-Thinking paper and on public GitHub repositories for Multi-SWE-bench and FullStack Bench.

Bairen Yi is a researcher at ByteDance's Seed Foundation Team. Public publication records link him to work on efficient LLM inference, KV-cache compression, and model/model-expert merging.

Baoquan Zhong is publicly listed as an MS student at Zhejiang University. He appears as a coauthor on ByteDance Seed's Seed1.5-Thinking arXiv report and on the OpenReview paper ReTool.

Public OpenReview records list Bohong Wu as an MS student at Shanghai Jiao Tong University starting in 2020, with confirmed sjtu.edu.cn and bytedance.com emails and expertise in natural language processing, multimodality, and multilingual research.

Publicly listed on OpenReview as a researcher at ByteDance. He is an author on Seed1.5-Thinking and OpenReview-listed ByteDance papers including DAPO and Model Merging in Pre-training of Large Language Models.

Borui Wan is a Ph.D. student at the University of Hong Kong, listed on Chuan Wu's team page as starting in 2022. He is the lead author of the USENIX NSDI 2025 paper "ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development" and is also listed as an author on the ByteDance Seed report "Seed1.5-Thinking."

Public report authorship links Boyi Liu to the MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention at MiniMax.

Public evidence identifies Chao Xin as a ByteDance Seed paper author, including the Seed1.5-Thinking report and the OpenReview paper PAG on LLM self-correction with multi-turn reinforcement learning.

Public OpenReview and DBLP profiles associate Chen Dun with research in large language models, federated learning, distributed deep learning, and graph neural networks.

Cheng Ren is publicly listed on OpenReview as a software engineer at Seed, ByteDance Inc. and a Brown University MS alum. He is also credited as an author on ByteDance Seed's Seed1.5-Thinking report.

Publicly listed as a ByteDance researcher focused on large language models, with Tsinghua University education history, and as an author on ByteDance Seed's Seed1.5-VL and Seed1.5-Thinking reports.

Public sources connect Chengquan Jiang to ByteDance Seed and related publications on mixture-of-experts systems, LLM tool use, speculative decoding, and efficient LLM serving. A DBLP author profile lists papers from 2022 to 2025 including ByteTransformer, FLUX, COMET, ReTool, SwiftSpec, and LiquidGEMM.

Chenguang Xi is publicly listed as an author on ByteDance Seed's Seed1.5-Thinking report. A matching OpenReview profile shows a confirmed @bytedance.com email, PhD study at Tufts University from 2010 to 2017, and undergraduate study at Shanghai Jiao Tong University from 2006 to 2010.

Public sources list Chengyi Wang as a co-author on ByteDance Seed's Seed1.5-Thinking and DAPO publications, indicating work in large language model reasoning and reinforcement learning.

Chengzhi Wei is credited on the Seed1.5-VL and Seed1.5-Thinking technical reports. An OpenReview profile under the reordered name 'Wei Chengzhi' lists a ByteDance researcher role starting in 2023 and MS study at the University of California, Los Angeles from 2020 to 2022.

Chenwei Lou is a researcher at ByteDance Seed. Public profiles indicate earlier research experience at Tencent, an MS period at Harbin Institute of Technology, and earlier undergraduate study at Jilin University.

Chenxiao Liu is an MS student at Peking University whose public OpenReview profile lists publications in code intelligence, source-code QA, and LLM evaluation, including collaboration with ByteDance researchers on EvaLearn.

Chi Zhang is a ByteDance Seed-affiliated research author whose public publication record spans RLHF and LLM post-training systems, alongside earlier reinforcement learning work.

Defa Zhu is an AI researcher whose public homepage says his work focuses on large language models and stronger model architectures.

Fan Xia is publicly listed as an author on ByteDance Seed's Seed1.5-Thinking and Seed Diffusion publications. ByteDance Seed's official LLM team page places this work in large language model research spanning post-training, inference, memory, learning, and interpretability.

Public sources identify Feng He as a ByteDance researcher; OpenReview lists earlier MS study at Sichuan University and expertise in video retrieval.

Researcher at ByteDance Seed and coauthor of the Seed-Thinking-v1.5: Advancing Superb Reasoning Models with Reinforcement Learning.

Guang Shi is publicly listed as a coauthor on ByteDance Seed papers including Seed1.5-VL Technical Report, Seed1.5-Thinking, Emerging Properties in Unified Multimodal Pretraining, and UI-TARS, supporting a conservative profile centered on vision-language models, multimodal pretraining, and GUI agents.

Guanghan Ning is a ByteDance researcher whose public homepage says he switched to foundation models at the beginning of 2023, especially code LLMs, after earlier work in computer vision and deep learning.

Canonical link

Aoyan Li

Bairen Yi

Baoquan Zhong

Bohong Wu

Bole Ma

Borui Wan

Boyi Liu

Chao Xin

Chen Dun

Cheng Ren

Chenggang Li

Chengquan Jiang

Chenguang Xi

Chengyi Wang

Chengzhi Wei

Chenwei Lou

Chenxiao Liu

Chi Zhang

Defa Zhu

Fan Xia

Feng He

Ge Zhang

Guang Shi

Guanghan Ning