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Harrison Lee
Harrison Lee
Google Deepmind
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Year
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
H Lee, S Phatale, H Mansoor, T Mesnard, J Ferret, K Lu, C Bishop, E Hall, ...
Proceedings of the 41st International Conference on Machine Learning 235 …, 2023
331*2023
Description-Driven Task-Oriented Dialog Modeling
J Zhao, R Gupta, Y Cao, D Yu, M Wang, H Lee, A Rastogi, I Shafran, Y Wu
arXiv preprint arXiv:2201.08904, 2022
502022
Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue
R Gupta, H Lee, J Zhao, A Rastogi, Y Cao, Y Wu
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
302022
SGD-X: A Benchmark for Robust Generalization in Schema-Guided Dialogue Systems
H Lee, R Gupta, A Rastogi, Y Cao, B Zhang, Y Wu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10938 …, 2022
292022
AnyTOD: A Programmable Task-Oriented Dialog System
J Zhao, Y Cao, R Gupta, H Lee, A Rastogi, M Wang, H Soltau, I Shafran, ...
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2022
82022
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
J Wu, L Ning, L Liu, H Lee, N Wu, C Wang, S Prakash, S O'Banion, ...
arXiv preprint arXiv:2409.04421, 2024
2024
Conversational Recommendation as Retrieval: A Simple, Strong Baseline
R Gupta, R Aksitov, S Phatale, S Chaudhary, H Lee, A Rastogi
Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023), 2023
2023
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