Hao Sun

Affiliations:
  • University of Cambridge, DAMTP, Department of Applied Mathematics and Theoretical Physics, UK


According to our database1, Hao Sun authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2022
2023
2024
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2
3
4
5
6
7
4
1
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4

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Inverse-RLignment: Inverse Reinforcement Learning from Demonstrations for LLM Alignment.
CoRR, 2024

Retrieval-Augmented Thought Process as Sequential Decision Making.
CoRR, 2024

Dense Reward for Free in Reinforcement Learning from Human Feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
When is Off-Policy Evaluation Useful? A Data-Centric Perspective.
CoRR, 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

Neural Laplace Control for Continuous-time Delayed Systems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Membership Inference Attacks against Synthetic Data through Overfitting Detection.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
DAUX: a Density-based Approach for Uncertainty eXplanations.
CoRR, 2022


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