Thomas Pouplin

PhD student, University of Cambridge

Joined

September 2023

Names

Thomas Pouplin (Preferred)

Emails

****@cam.ac.uk (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

PhD student

University of Cambridge (cam.ac.uk)

2024 – 2028

MS student

University of Cambridge (cam.ac.uk)

2022 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Fact-Augmented Lookahead Planning for LLM Agents
Samuel Holt, Max Ruiz Luyten, Thomas Pouplin, Mihaela van der Schaar
- AISTATS 2026 Poster
- Readers: Everyone
Building Simulation Environments for Computational Organizational Design
Thomas Pouplin, Rob Davis, Max Ruiz Luyten, Amrutha Saseendran, Tom Diethe, Jim Weatherall, Mihaela van der Schaar
- Submitted to ICLR 2026
- Readers: Everyone
Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search
Samuel Holt, Max Ruiz Luyten, Thomas Pouplin, Mihaela van der Schaar
- ICML 2025 Workshop PRAL
- Readers: Everyone
Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search
Samuel Holt, Max Ruiz Luyten, Thomas Pouplin, Mihaela van der Schaar
- WCUA 2025 Oral
- Readers: Everyone
The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data
Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela van der Schaar
- ICML 2025 spotlightposter
- Readers: Everyone
LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements
Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela van der Schaar
- Submitted to ICLR 2025
- Readers: Everyone
Retrieval Augmented Thought Process for Private Data Handling in Healthcare
Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar
- Submitted to ICLR 2025
- Readers: Everyone
Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization
Hao Sun, Thomas Pouplin, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar
- FITML 2024 Poster
- Readers: Everyone
Improving LLM Generation with Inverse and Forward Alignment: Reward Modeling, Prompting, Fine-Tuning, and Inference-Time Optimization
Hao Sun, Thomas Pouplin, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar
- Sys2-Reasoning Poster
- Readers: Everyone
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
- ICML 2024 Poster
- Readers: Everyone

View all 13 publications