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Secrets of RLHF in Large Language Models Part II: Reward Modeling., , , , , , , , , and 17 other author(s). CoRR, (2024)StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback., , , , , , , , , and 7 other author(s). CoRR, (2024)LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment., , , , , , , , , and 6 other author(s). CoRR, (2023)Low-cost E1-class 10-Gb/s directly modulation laser in TO-can package with optical filtering for XG-PON application., , , , , , and . OFC, page 1-3. IEEE, (2017)The Rise and Potential of Large Language Model Based Agents: A Survey., , , , , , , , , and 19 other author(s). CoRR, (2023)RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms., , , , , , , , , and . EMNLP (Findings), page 10262-10274. Association for Computational Linguistics, (2023)Semi-Synthesis: A Fast Way To Produce Effective Datasets for Stereo Matching., , , , , and . CVPR Workshops, page 2884-2893. Computer Vision Foundation / IEEE, (2021)Global Matching with Overlapping Attention for Optical Flow Estimation., , , , and . CVPR, page 17571-17580. IEEE, (2022)