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ORCIDDerrick-Goh-Xin Deik
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2020 – today
- 2024
[i5]Dexun Li, Cong Zhang, Kuicai Dong, Derrick-Goh-Xin Deik, Ruiming Tang, Yong Liu:
Aligning Crowd Feedback via Distributional Preference Reward Modeling. CoRR abs/2402.09764 (2024)- [i4]Kuicai Dong, Derrick-Goh-Xin Deik, Yi Quan Lee, Hao Zhang, Xiangyang Li, Cong Zhang, Yong Liu:
Multi-view Content-aware Indexing for Long Document Retrieval. CoRR abs/2404.15103 (2024) - [i3]Cong Zhang, Derrick-Goh-Xin Deik, Dexun Li, Hao Zhang, Yong Liu:
Meta-Task Planning for Language Agents. CoRR abs/2405.16510 (2024) - 2023
- [c1]Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci:
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. EMNLP (Findings) 2023: 370-384 - [i2]Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci:
Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. CoRR abs/2310.13669 (2023) - 2022
- [i1]Mohammad Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar:
AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. CoRR abs/2201.12570 (2022)
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