Ting-En Lin

Researcher, Tongyi Labortory, Alibaba Group

Joined

October 2018

Names

Ting-En Lin (Preferred)

Tony Lin

Emails

****@gmail.com (Confirmed)

****@alibaba-inc.com (Confirmed)

Personal Links

Career & Education History

Researcher

Tongyi Labortory, Alibaba Group (alibaba-inc.com)

2020 – Present

MS student

Computer Science, Tsinghua University (tsinghua.edu.cn)

2017 – 2020

Advisors, Relations & Conflicts

Coworker

Jingren Zhou

2024 – Present

Coworker

Yongbin Li

2020 – Present

PhD Advisor

Hua Xu

2017 – 2020

Expertise

role-playing language agent

2024 – Present

large language model

2023 – Present

multimodal understanding

2022 – 2024

spoken dialogue system

2020 – 2023

natural language understanding

2017 – 2021

Publications

Reverse Preference Optimization for Complex Instruction Following
Xiang Huang, Ting-En Lin, Feiteng Fang, Yuchuan Wu, Hangyu Li, Yuzhong Qu, Fei Huang, Yongbin Li
- ACL 2025 Findings
- Readers: Everyone
P-GenRM: Personalized Generative Reward Model with Test-time User-based Scaling
Pinyi Zhang, Ting-En Lin, Yuchuan Wu, Jingyang Chen, Zongqi Wang, Hua Yang, Xu Ze, Fei Huang, Yongbin Li, Kai Zhang
- ICLR 2026 Oral
- Readers: Everyone
MuEdit: A Lightweight yet Effective Multi-task Model Editing Method
Songshi Liang, Ting-En Lin, Zixuan Huang, Yuchuan Wu, Zihe Wang, Yongbin Li, Rui Yan
- Submitted to ICLR 2026
- Readers: Everyone
A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao
- NeurIPS 2025 ER Workshop
- Readers: Everyone
A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao
- ICLR 2026 Poster
- Readers: Everyone
OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis
Run Luo, Ting-En Lin, Haonan Zhang, Yuchuan Wu, Xiong Liu, Yongbin Li, Longze Chen, Jiaming Li, Lei Zhang, Xiaobo Xia, Hamid Alinejad-Rokny, Fei Huang, Min Yang
- NeurIPS 2025 poster
- Readers: Everyone
DEEM: Diffusion models serve as the eyes of large language models for image perception
Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Hamid Alinejad-Rokny, Xiaobo Xia, Tongliang Liu, Binyuan Hui, Min Yang
- ICLR 2025 Spotlight
- Readers: Everyone
Locate-then-Unlearn: An Effective Method of Multi-Task Continuous Learning for Large Language Models
Songshi Liang, Hongda Sun, Ting-En Lin, Yuchuan Wu, Zihe Wang, Yongbin Li, Rui Yan
- Submitted to ICLR 2025
- Readers: Everyone
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Yongbin Li, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Xiaobo Xia, Fei Huang, Jingkuan Song
- Submitted to ICLR 2025
- Readers: Everyone
Constructive Large Language Model Alignment with Diverse Feedback
Tianshu Yu, Ting-En Lin, Yuchuan Wu, Min Yang, Fei Huang, Yongbin Li
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone

View all 26 publications

Co-Authors

View all 70 co-authors