DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling by Quan, Shanghaoran

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Language Models can Self-Lengthen to Generate Long Texts by Quan, Shanghaoran, Tang, Tianyi, Bowen, Yu, Yang, An, Liu, Dayiheng, Gao, Bofei, Tu, Jianhong, Zhang, Yichang, Zhou, Jingren, Lin, Junyang

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Aligning CodeLLMs with Direct Preference Optimization by Miao, Yibo, Gao, Bofei, Quan, Shanghaoran, Lin, Junyang, Daoguang Zan, Liu, Jiaheng, Yang, Jian, Liu, Tianyu, Deng, Zhijie

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Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models by Gao, Bofei, Song, Feifan, Yang, Zhe, Cai, Zefan, Miao, Yibo, Dong, Qingxiu, Li, Lei, Ma, Chenghao, Chen, Liang, Xu, Runxin, Tang, Zhengyang, Wang, Benyou, Daoguang Zan, Quan, Shanghaoran, Zhang, Ge, Sha, Lei, Zhang, Yichang, Ren, Xuancheng, Liu, Tianyu, Chang, Baobao

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Qwen2.5-Coder Technical Report by Binyuan Hui, Yang, Jian, Cui, Zeyu, Yang, Jiaxi, Liu, Dayiheng, Zhang, Lei, Liu, Tianyu, Zhang, Jiajun, Bowen, Yu, Lu, Keming, Dang, Kai, Yang, Fan, Zhang, Yichang, Yang, An, Men, Rui, Huang, Fei, Zheng, Bo, Miao, Yibo, Quan, Shanghaoran, Feng, Yunlong, Ren, Xingzhang, Ren, Xuancheng, Zhou, Jingren, Lin, Junyang

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Towards a Unified View of Preference Learning for Large Language Models: A Survey by Gao, Bofei, Song, Feifan, Miao, Yibo, Cai, Zefan, Yang, Zhe, Chen, Liang, Hu, Helan, Xu, Runxin, Dong, Qingxiu, Zheng, Ce, Quan, Shanghaoran, Xiao, Wen, Zhang, Ge, Daoguang Zan, Lu, Keming, Bowen, Yu, Liu, Dayiheng, Cui, Zeyu, Yang, Jian, Sha, Lei, Wang, Houfeng, Sui, Zhifang, Wang, Peiyi, Liu, Tianyu, Chang, Baobao

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