Sean Michael McLeish

PhD student, Computer Science, University of Maryland, College Park

Joined

January 2023

Names

Sean Michael McLeish (Preferred)

Sean McLeish

Emails

****@hotmail.co.uk (Confirmed)

****@umd.edu (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

PhD student

Computer Science, University of Maryland, College Park (umd.edu)

2023 – Present

Intern

CapitalOne (capitalone.com)

2024 – 2024

Undergrad student

University of Warwick (warwick.ac.uk)

2020 – 2023

Intern

Goldman Sachs (goldmansachs.com)

2022 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Tom Goldstein

2023 – Present

Coauthor

Long Tran-Thanh

2022 – Present

Expertise

Machine Learning

2022 – 2023

Publications

Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
Sean McLeish, Ang Li, John Kirchenbauer, Dayal Singh Kalra, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Tom Goldstein, Micah Goldblum
- CoRR 2025
- Readers: Everyone
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
Sean Michael McLeish, Ang Li, John Kirchenbauer, Dayal Singh Kalra, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Micah Goldblum, Tom Goldstein
- NeurIPS 2025 ER Workshop Spotlight
- Readers: Everyone
Practical Memorization Tests for Detecting Copyrighted Data in Large Language Models
Michael-Andrei Panaitescu-Liess, Aadi Palnitkar, Archit Kambhamettu, Yigitcan Kaya, Daniel Brown, Sungbin Oh, Sean Michael McLeish, Marco Bornstein, Furong Huang, Tom Goldstein
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
Sean Michael McLeish, Ang Li, John Kirchenbauer, Dayal Singh Kalra, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Tom Goldstein, Micah Goldblum
- Submitted to ICLR 2026
- Readers: Everyone
You Only Train Once: Efficient Tokenizer Selection for Arithmetic in Language Models
Mucong Ding, Sean Michael McLeish, Kazem Meidani, Igor Melnyk, Nam H Nguyen, C. Bayan Bruss, Furong Huang
- TokShop
- Readers: Everyone
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Jonas Geiping, Sean Michael McLeish, Neel Jain, John Kirchenbauer, Siddharth Singh, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Tom Goldstein
- ES-FoMo III Spotlight
- Readers: Everyone
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Jonas Geiping, Sean Michael McLeish, Neel Jain, John Kirchenbauer, Siddharth Singh, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Tom Goldstein
- NeurIPS 2025 spotlight
- Readers: Everyone
Gemstones: A Model Suite for Multi-Faceted Scaling Laws
Sean Michael McLeish, John Kirchenbauer, David Yu Miller, Siddharth Singh, Abhinav Bhatele, Micah Goldblum, Ashwinee Panda, Tom Goldstein
- NeurIPS 2025 poster
- Readers: Everyone
Gemstones: A Model Suite for Multi-Faceted Scaling Laws
Sean McLeish, John Kirchenbauer, David Yu Miller, Siddharth Singh, Abhinav Bhatele, Micah Goldblum, Ashwinee Panda, Tom Goldstein
- CoRR 2025
- Readers: Everyone
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Jonas Geiping, Sean McLeish, Neel Jain, John Kirchenbauer, Siddharth Singh, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Tom Goldstein
- CoRR 2025
- Readers: Everyone

View all 20 publications

Co-Authors

View all 43 co-authors