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Celine Lee
Celine Lee |
| PhD candidate @ Cornell University, advised by Sasha Rush. I work on language modeling, with a special focus on code reasoning and generation. |
| Currently (Summer 2025): Student Researcher @ Google Deepmind |
| I have worked with fantastic teams at IBM TJ Watson (mentored by Ramón Fernandez Astudillo), Intel Labs (mentored by Justin Gottschlich), and the University of Pennsylvania (mentored by Dan Roth). I devote energy to teaching and education; in Spring 2025, I was an Adjunct Instructor at the Mohamed Bin Zayed University of AI, and in Summer 2023 taught the Cornell's Break Through Tech Program. |
| My (likely outdated) CV and my Google Scholar. |
Publications
Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length?
Celine Lee, Alexander M. Rush, Keyon Vafa
ACL - Findings; IJCNLP-AACL 2025
Link
Celine Lee, Alexander M. Rush, Keyon Vafa
ACL - Findings; IJCNLP-AACL 2025
Link
Commit0: Library Generation from Scratch
Wenting Zhao, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gallé, Alexander M. Rush
ICLR 2025
Link
Wenting Zhao, Nan Jiang, Celine Lee, Justin T. Chiu, Claire Cardie, Matthias Gallé, Alexander M. Rush
ICLR 2025
Link
Sampling Language from Latent System-2 Reasoning
Celine Lee, Arafat Sultan, Tahira Naseem, Alexander M. Rush, Ramon Fernandez Astudillo
NeurIPS 2024 - System 2 Reasoning at Scale
Link
Celine Lee, Arafat Sultan, Tahira Naseem, Alexander M. Rush, Ramon Fernandez Astudillo
NeurIPS 2024 - System 2 Reasoning at Scale
Link
The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
Alex Gu, Celine Lee*, Wen-Ding Li*, Naman Jain*, Theo X. Olausson*, Koushik Sen, Armando Solar-Lezama
ACL 2024 - Findings
Link
Alex Gu, Celine Lee*, Wen-Ding Li*, Naman Jain*, Theo X. Olausson*, Koushik Sen, Armando Solar-Lezama
ACL 2024 - Findings
Link
Guess & Sketch: Language Model Guided Transpilation
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander Rush
ICLR 2024
Link
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander Rush
ICLR 2024
Link
Mixture of Soft Prompts for Controllable Data Generation
Derek Chen, Celine Lee, Yunan Lu, Domenic Rosati, Zhou Yu
EMNLP 2023 - Findings
Link
Derek Chen, Celine Lee, Yunan Lu, Domenic Rosati, Zhou Yu
EMNLP 2023 - Findings
Link
A Survey on Semantic Parsing for Machine Programming
Celine Lee, Justin Gottschlich, Dan Roth
KDD Workshop 2021 - PLP
Link
Celine Lee, Justin Gottschlich, Dan Roth
KDD Workshop 2021 - PLP
Link
Patents
- METHODS AND APPARATUS TO IMPROVE DATA QUALITY FOR ARTIFICIAL INTELLIGENCE (USPTO App. No. 17/540050)
- METHODS AND APPARATUS TO TRAIN MODELS FOR PROGRAM SYNTHESIS (USPTO App. No. 17/551170)
- METHODS AND APPARATUS TO DETERMINE REFINED CONTEXT FOR SOFTWARE BUG DETECTION AND CORRECTION (USPTO App. No. 17/554918)
- METHODS, APPARATUS, AND ARTICLES OF MANUFACTURE TO GENERATE COMMAND LISTS TO BE OFFLOADED TO ACCELERATOR CIRCUITRY (USPTO App. No. 17/559556)
News
- October 2025 - I gave an invited talk at the Visions Workshop @ COLM 2025.
- April 2025 - I co-organized the VerifAI: AI Verification in the Wild workshop @ ICLR 2025.
- March 2025 - I am honored to be recognized as an ML & Systems Rising Star!
- January 2025 - I will be an Adjunct Instructor at MBZUAI for the semester!
- June 2024 - I was interviewed by Jennifer Sheffield for the Cognitive Computation Group Blog. Interview link.
- October 2021 - I was interviewed by Dr. Justin Gottschlich on the Machine Programming & Technology channel. Video
Software
Misc.
- Slides from past presentations here.
- A running list of what-to-do ideas when you need some inspiration. Use them if that's fun for you
- I like soup a lot.