Hao Sun
Affiliations:- University of Cambridge, DAMTP, Department of Applied Mathematics and Theoretical Physics, UK
According to our database1,
Hao Sun authored at least 22 papers
between 2022 and 2025.
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Bibliography
2025
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities.
CoRR, July, 2025
OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models.
CoRR, May, 2025
Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs.
CoRR, February, 2025
CoRR, February, 2025
Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts), 2025
2024
When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective.
J. Data-centric Mach. Learn. Res., 2024
Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes.
CoRR, 2024
LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements.
CoRR, 2024
Rethinking Bradley-Terry Models in Preference-Based Reward Modeling: Foundations, Theory, and Alternatives.
CoRR, 2024
Inverse-RLignment: Inverse Reinforcement Learning from Demonstrations for LLM Alignment.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022