Nicholas Lee
I work on AI agents, efficient machine learning systems, and spoken language understanding.
nicholas.lee [at] berkeley [dot] edu
Education
- Ph.D.
- Computer Science, UC Berkeley Co-advised by Kurt Keutzer and Gopala Anumanchipalli 2023–Present
- M.S.
- 5th Year M.S. in Computer Science, UC Berkeley 2022–2023
- B.S.
- Electrical Engineering and Computer Sciences, UC Berkeley 2018–2022
Selected publications
Full list on Google Scholar-
2026
Agentic Test-Time Scaling for WebAgents
Nicholas Lee*, Lutfi Eren Erdogan*, Chris Joseph John, Surya Krishnapillai, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
COLM Workshop on Efficient Reasoning
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2026
StyleStream: Real-Time Zero-Shot Voice Style Conversion
Yisi Liu, Nicholas Lee, Gopala K. Anumanchipalli
Interspeech, Long Paper Track
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2025
Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks
Lutfi Eren Erdogan*, Nicholas Lee*, Sehoon Kim, Suhong Moon, Hiroki Furuta, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami
International Conference on Machine Learning (ICML)
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2025
Sylber: Syllabic Embedding Representation of Speech from Raw Audio
Cheol Jun Cho, Nicholas Lee, Akshat Gupta, Dhruv Agarwal, Ethan Chen, Alan W. Black, Gopala K. Anumanchipalli
International Conference on Learning Representations (ICLR)
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2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Nicholas Lee*, Thanakul Wattanawong*, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
Findings of ACL
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2024
TinyAgent: Function Calling at the Edge
Lutfi Eren Erdogan*, Nicholas Lee*, Siddharth Jha*, Sehoon Kim, Ryan Tabrizi, Suhong Moon, Coleman Hooper, Gopala Anumanchipalli, Kurt Keutzer, Amir Gholami
Empirical Methods in Natural Language Processing (EMNLP)
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2024
An LLM Compiler for Parallel Function Calling
Sehoon Kim*, Suhong Moon*, Ryan Tabrizi, Nicholas Lee, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
International Conference on Machine Learning (ICML)
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2023
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Ying Sheng*, Shiyi Cao*, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica
Conference on Machine Learning and Systems (MLSys)
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2022
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
Sehoon Kim*, Amir Gholami*, Albert Shaw†, Nicholas Lee†, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer
Advances in Neural Information Processing Systems (NeurIPS)
* Equal contribution. † Equal second-author contribution on Squeezeformer.