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Shanghaoran Quan
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2020 – today
- 2025
[c4]Shanghaoran Quan:
Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity. AAAI 2025: 25074-25082
[c3]Jian Yang, Wei Zhang, Yibo Miao, Shanghaoran Quan, Zhenhe Wu, Qiyao Peng, Liqun Yang, Tianyu Liu, Zeyu Cui, Binyuan Hui, Junyang Lin:
Qwen2.5-xCoder: Multi-Agent Collaboration for Multilingual Code Instruction Tuning. ACL (1) 2025: 13121-13131
[c2]Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang:
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. ICLR 2025
[i9]Shanghaoran Quan, Jiaxi Yang, Bowen Yu, Bo Zheng, Dayiheng Liu, An Yang, Xuancheng Ren, Bofei Gao, Yibo Miao, Yunlong Feng, Zekun Wang, Jian Yang, Zeyu Cui, Yang Fan, Yichang Zhang, Binyuan Hui, Junyang Lin:
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. CoRR abs/2501.01257 (2025)
[i8]Jian Yang, Wei Zhang, Jiaxi Yang, Yibo Miao, Shanghaoran Quan, Zhenhe Wu, Qiyao Peng, Liqun Yang, Tianyu Liu, Zeyu Cui, Binyuan Hui, Junyang Lin:
Multi-Agent Collaboration for Multilingual Code Instruction Tuning. CoRR abs/2502.07487 (2025)
[i7]Siwei Wu, Yizhi Li, Xingwei Qu, Rishi Ravikumar, Yucheng Li, Tyler Loakman, Shanghaoran Quan, Xiaoyong Wei, Riza Batista-Navarro, Chenghua Lin:
LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm. CoRR abs/2502.19103 (2025)
[i6]David Ma, Huaqing Yuan, Xingjian Wang, Qianbo Zang, Tianci Liu, Xinyang He, Yanbin Wei, Jiawei Guo, Ni Jiahui, Zhenzhu Yang, Meng Cao, Shanghaoran Quan, Yizhi Li, Wangchunshu Zhou, Jiaheng Liu, Wenhao Huang, Ge Zhang, Shiwen Ni, Xiaojie Jin:
ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding. CoRR abs/2505.23922 (2025)- 2024
[c1]Shanghaoran Quan:
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling. ACL (Findings) 2024: 7006-7028
[i5]Shanghaoran Quan:
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling. CoRR abs/2403.01197 (2024)
[i4]Shanghaoran Quan:
Automatically Generating Numerous Context-Driven SFT Data for LLMs across Diverse Granularity. CoRR abs/2405.16579 (2024)
[i3]Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang:
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models. CoRR abs/2410.07985 (2024)
[i2]Yibo Miao, Bofei Gao, Shanghaoran Quan, Junyang Lin, Daoguang Zan, Jiaheng Liu, Jian Yang, Tianyu Liu, Zhijie Deng:
Aligning CodeLLMs with Direct Preference Optimization. CoRR abs/2410.18585 (2024)
[i1]Shanghaoran Quan, Tianyi Tang, Bowen Yu, An Yang, Dayiheng Liu, Bofei Gao, Jianhong Tu, Yichang Zhang, Jingren Zhou, Junyang Lin:
Language Models can Self-Lengthen to Generate Long Texts. CoRR abs/2410.23933 (2024)
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