AsyncOPD: How Stale Can On-Policy Distillation Be?
Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjun Kang, Sanghyun Park, Donghoon Kim, Minjae Lee, Minseon Kim, Rishabh Tiwari, Yuchen Zeng, H. Koo, Kangwook Lee
June 2026
arXiv | June 2026
Yuchen Zeng
Senior Researcher
Publications
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You Don’t Need to Run Every Eval
Yuchen Zeng, Dimitris Papailiopoulos
June 2026
arXiv | June 2026
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MEMENTO: Teaching LLMs to Manage Their Own Context
Vasilis Kontonis, Yuchen Zeng, Shivam Garg, Lingjiao Chen, Hao Tang, Ziyan Wang, Ahmed Awadallah, Eric Horvitz, John Langford, Dimitris Papailiopoulos
2026 COLM | April 2026
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Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL
Xuhan Tong, Yuchen Zeng, Jiawei Zhang
March 2026
arXiv | March 2026
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State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
Wonjun Kang, Kevin Galim, Yuchen Zeng, Minjae Lee, Hyung Il Koo, Namik Cho
ArXiv | March 2025, Vol abs/2503.03499
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Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee
International Conference on Machine Learning | October 2024
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AsyncOPD: How Stale Can On-Policy Distillation Be?
Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjun Kang, Sanghyun Park, Donghoon Kim, Minjae Lee, Minseon Kim, Rishabh Tiwari, Yuchen Zeng, H. Koo, Kangwook Lee
June 2026
arXiv | June 2026
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You Don’t Need to Run Every Eval
Yuchen Zeng, Dimitris Papailiopoulos
June 2026
arXiv | June 2026
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MEMENTO: Teaching LLMs to Manage Their Own Context
Vasilis Kontonis, Yuchen Zeng, Shivam Garg, Lingjiao Chen, Hao Tang, Ziyan Wang, Ahmed Awadallah, Eric Horvitz, John Langford, Dimitris Papailiopoulos
2026 COLM | April 2026
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Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL
Xuhan Tong, Yuchen Zeng, Jiawei Zhang
March 2026
arXiv | March 2026
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State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
Wonjun Kang, Kevin Galim, Yuchen Zeng, Minjae Lee, Hyung Il Koo, Namik Cho
ArXiv | March 2025, Vol abs/2503.03499
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Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee
International Conference on Machine Learning | October 2024
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You Don’t Need to Run Every Eval
Yuchen Zeng, Dimitris Papailiopoulos
June 2026
arXiv | June 2026
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AsyncOPD: How Stale Can On-Policy Distillation Be?
Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjun Kang, Sanghyun Park, Donghoon Kim, Minjae Lee, Minseon Kim, Rishabh Tiwari, Yuchen Zeng, H. Koo, Kangwook Lee
June 2026
arXiv | June 2026
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State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
Wonjun Kang, Kevin Galim, Yuchen Zeng, Minjae Lee, Hyung Il Koo, Namik Cho
ArXiv | March 2025, Vol abs/2503.03499
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MEMENTO: Teaching LLMs to Manage Their Own Context
Vasilis Kontonis, Yuchen Zeng, Shivam Garg, Lingjiao Chen, Hao Tang, Ziyan Wang, Ahmed Awadallah, Eric Horvitz, John Langford, Dimitris Papailiopoulos
2026 COLM | April 2026
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AsyncOPD: How Stale Can On-Policy Distillation Be?
Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjun Kang, Sanghyun Park, Donghoon Kim, Minjae Lee, Minseon Kim, Rishabh Tiwari, Yuchen Zeng, H. Koo, Kangwook Lee
June 2026
arXiv | June 2026
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You Don’t Need to Run Every Eval
Yuchen Zeng, Dimitris Papailiopoulos
June 2026
arXiv | June 2026
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Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL
Xuhan Tong, Yuchen Zeng, Jiawei Zhang
March 2026
arXiv | March 2026
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State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
Wonjun Kang, Kevin Galim, Yuchen Zeng, Minjae Lee, Hyung Il Koo, Namik Cho
ArXiv | March 2025, Vol abs/2503.03499
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MEMENTO: Teaching LLMs to Manage Their Own Context
Vasilis Kontonis, Yuchen Zeng, Shivam Garg, Lingjiao Chen, Hao Tang, Ziyan Wang, Ahmed Awadallah, Eric Horvitz, John Langford, Dimitris Papailiopoulos
2026 COLM | April 2026
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Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee
International Conference on Machine Learning | October 2024
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