Hao Sun

According to our database, Hao Sun authored at least 18 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities.

Hao Sun, Mihaela van der Schaar

CoRR, July, 2025

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models.

Hao Sun, Yunyi Shen, Mihaela van der Schaar

CoRR, May, 2025

Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs.

Hao Sun, Yunyi Shen, Jean-Francois Ton, Mihaela van der Schaar

CoRR, February, 2025

Reviving The Classics: Active Reward Modeling in Large Language Model Alignment.

Yunyi Shen, Hao Sun, Jean-François Ton

CoRR, February, 2025

Rethinking Reward Modeling in Preference-based Large Language Model Alignment.

Hao Sun, Yunyi Shen, Jean-Francois Ton

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes.

Katarzyna Kobalczyk, Claudio Fanconi, Hao Sun, Mihaela van der Schaar

CoRR, 2024

LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements.

Thomas Pouplin, Katarzyna Kobalczyk, Hao Sun, Mihaela van der Schaar

CoRR, 2024

Rethinking Bradley-Terry Models in Preference-Based Reward Modeling: Foundations, Theory, and Alternatives.

Hao Sun, Yunyi Shen, Jean-Francois Ton

CoRR, 2024

Inverse-RLignment: Inverse Reinforcement Learning from Demonstrations for LLM Alignment.

Hao Sun, Mihaela van der Schaar

CoRR, 2024

Retrieval-Augmented Thought Process as Sequential Decision Making.

Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar

CoRR, 2024

Dense Reward for Free in Reinforcement Learning from Human Feedback.

Alex James Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL.

Hao Sun, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

When is Off-Policy Evaluation Useful? A Data-Centric Perspective.

Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2023

Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples.

Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization.

Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Laplace Control for Continuous-time Delayed Systems.

Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Membership Inference Attacks against Synthetic Data through Overfitting Detection.

Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

DAUX: a Density-based Approach for Uncertainty eXplanations.

Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar

CoRR, 2022