Xin Dong

Researcher, Seed, ByteDance

Joined

September 2018

Names

Xin Dong (Preferred)

Emails

****@g.harvard.edu (Confirmed)

****@e.ntu.edu.sg (Confirmed)

****@nvidia.com (Confirmed)

****@alumni.harvard.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Seed, ByteDance (bytedance.com)

2025 – Present

Researcher

NVIDIA Research, NVIDIA (nvidia.com)

2024 – 2025

Researcher

Sony AI, Sony Research (sony.com)

2023 – 2024

PhD student

SEAS-CS, Harvard University (g.harvard.edu)

2018 – 2023

Advisors, Relations & Conflicts

PhD Advisor

H.T. Kung

2018 – 2023

Expertise

efficient deep learning

Present

LLM

Present

Publications

TiDAR: Think in Diffusion, Talk in Autoregression
Jingyu Liu, Xin Dong, Zhifan Ye, Rishabh Mehta, Yonggan Fu, vartika singh, Jan Kautz, Ce Zhang, Pavlo Molchanov
- OpenReview Archive Direct Upload
- Readers: Everyone
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
Hongjin SU, Shizhe Diao, Ximing Lu, Mingjie Liu, Jiacheng Xu, Xin Dong, Yonggan Fu, Peter Belcak, Hanrong Ye, Hongxu Yin, Yi Dong, Evelina Bakhturina, Tao Yu, Yejin Choi, Jan Kautz, Pavlo Molchanov
- Submitted to ICLR 2026
- Readers: Everyone
DLER: Doing Length pEnalty Right — Incentivizing More Intelligence per Token via Reinforcement Learning
Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov
- Submitted to ICLR 2026
- Readers: Everyone
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
Yonggan Fu, Lexington Whalen, Zhifan Ye, Xin Dong, Shizhe Diao, Jingyu Liu, Chengyue Wu, Hao Zhang, Enze Xie, Song Han, Maksim Khadkevich, Jan Kautz, Yingyan Celine Lin, Pavlo Molchanov
- Submitted to ICLR 2026
- Readers: Everyone
QuRL: Low-Precision Reinforcement Learning for Efficient Reasoning
Yuhang Li, Reena Elangovan, Xin Dong, Priyadarshini Panda, Brucek Khailany
- ICLR 2026 Poster
- Readers: Everyone
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Mingjie Liu, Shizhe Diao, Ximing Lu, Jian Hu, Xin Dong, Yejin Choi, Jan Kautz, Yi Dong
- NeurIPS 2025 poster
- Readers: Everyone
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
Yonggan Fu, Xin Dong, Shizhe Diao, Matthijs Van keirsbilck, Hanrong Ye, Wonmin Byeon, Yashaswi Karnati, Lucas Liebenwein, Maksim Khadkevich, Alexander Keller, Jan Kautz, Yingyan Celine Lin, Pavlo Molchanov
- NeurIPS 2025 poster
- Readers: Everyone
Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
Shizhe Diao, Yu Yang, Yonggan Fu, Xin Dong, Dan SU, Markus Kliegl, ZIJIA CHEN, Peter Belcak, Yoshi Suhara, Hongxu Yin, Mostofa Patwary, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov
- NeurIPS 2025 Datasets and Benchmarks Track spotlight
- Readers: Everyone
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan Celine Lin
- ICML 2025 poster
- Readers: Everyone
Segment Every Out-of-Distribution Object
Wenjie Zhao, Jia Li, Xin Dong, Yu Xiang, Yunhui Guo
- CVPR 2024
- Readers: Everyone

View all 56 publications

Co-Authors

View all 119 co-authors