Hao Sun - RankMe

27 papers A* 7A 2Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment. ICML Yunyi Shen, Hao Sun, Jean-Francois Ton
2025	—	`conf`	Inverse Reinforcement Learning Meets Large Language Model Alignment. ACL (5) Mihaela van der Schaar, Hao Sun
2025	J	`jnl`	Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities. CoRR Hao Sun, Mihaela van der Schaar
2025	J	`jnl`	OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models. CoRR Hao Sun, Yunyi Shen, Mihaela van der Schaar
2025	A*	`conf`	Rethinking Reward Modeling in Preference-based Large Language Model Alignment. ICLR Hao Sun, Yunyi Shen, Jean-Francois Ton
2025	J	`jnl`	Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs. CoRR Hao Sun, Yunyi Shen, Jean-Francois Ton, Mihaela van der Schaar
2025	J	`jnl`	Reviving The Classics: Active Reward Modeling in Large Language Model Alignment. CoRR Yunyi Shen, Hao Sun, Jean-François Ton
2025	A*	`conf`	The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data. ICML Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela van der Schaar
2024	A*	`conf`	Dense Reward for Free in Reinforcement Learning from Human Feedback. ICML Alex James Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar
2024	J	`jnl`	Dense Reward for Free in Reinforcement Learning from Human Feedback. CoRR Alex J. Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar
2024	J	`jnl`	Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes. CoRR Katarzyna Kobalczyk, Claudio Fanconi, Hao Sun, Mihaela van der Schaar
2024	J	`jnl`	Inverse-RLignment: Inverse Reinforcement Learning from Demonstrations for LLM Alignment. CoRR Hao Sun, Mihaela van der Schaar
2024	J	`jnl`	LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements. CoRR Thomas Pouplin, Katarzyna Kobalczyk, Hao Sun, Mihaela van der Schaar
2024	A*	`conf`	Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. ICLR Hao Sun, Alihan Hüyük, Mihaela van der Schaar
2024	J	`jnl`	Rethinking Bradley-Terry Models in Preference-Based Reward Modeling: Foundations, Theory, and Alternatives. CoRR Hao Sun, Yunyi Shen, Jean-Francois Ton
2024	J	`jnl`	Retrieval-Augmented Thought Process as Sequential Decision Making. CoRR Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar
2024	J	`jnl`	When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective. J. Data-centric Mach. Learn. Res. Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. NeurIPS Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2023	J	`jnl`	Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. CoRR Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2023	A	`conf`	Membership Inference Attacks against Synthetic Data through Overfitting Detection. AISTATS Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Membership Inference Attacks against Synthetic Data through Overfitting Detection. CoRR Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
2023	A	`conf`	Neural Laplace Control for Continuous-time Delayed Systems. AISTATS Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
2023	J	`jnl`	Neural Laplace Control for Continuous-time Delayed Systems. CoRR Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
2023	J	`jnl`	Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. CoRR Hao Sun, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization. NeurIPS Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
2023	J	`jnl`	When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2022	J	`jnl`	DAUX: a Density-based Approach for Uncertainty eXplanations. CoRR Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar