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Yejie Wang
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2020 – today
- 2025
[c10]Bofei Gao, Yejie Wang, Yibo Miao, Ruoyu Wu, Feifan Song, Longhui Yu, Tianyu Liu, Baobao Chang:
Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning. ACL (Findings) 2025: 7652-7665
[c9]Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu:
PreAct: Prediction Enhances Agent's Planning Ability. COLING 2025: 1-16
[c8]Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu:
AgentRefine: Enhancing Agent Generalization through Refinement Tuning. ICLR 2025
[c7]Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu:
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. ICLR 2025
[i16]Dayuan Fu, Keqing He, Yejie Wang, Wentao Hong, Zhuoma Gongque, Weihao Zeng, Wei Wang, Jingang Wang, Xunliang Cai, Weiran Xu:
AgentRefine: Enhancing Agent Generalization through Refinement Tuning. CoRR abs/2501.01702 (2025)
[i15]Alexander Zhang, Marcus Dong, Jiaheng Liu, Wei Zhang, Yejie Wang, Jian Yang, Ge Zhang, Tianyu Liu, Zhongyuan Peng, Yingshui Tan, Yuanxing Zhang, Zhexu Wang, Weixun Wang, Yancheng He, Ken Deng, Wangchunshu Zhou, Wenhao Huang, Zhaoxiang Zhang:
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models. CoRR abs/2502.16614 (2025)
[i14]Muxi Diao, Lele Yang, Hongbo Yin, Zhexu Wang, Yejie Wang, Daxin Tian, Kongming Liang, Zhanyu Ma:
DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving. CoRR abs/2505.20665 (2025)
[i13]Zhexu Wang, Yiping Liu, Yejie Wang, Wenyang He, Bofei Gao, Muxi Diao, Yanxu Chen, Kelin Fu, Flood Sung, Zhilin Yang, Tianyu Liu, Weiran Xu:
OJBench: A Competition Level Code Benchmark For Large Language Models. CoRR abs/2506.16395 (2025)
[i12]Zonghan Yang, Shengjie Wang, Kelin Fu, Wenyang He, Weimin Xiong, Yibo Liu, Yibo Miao, Bofei Gao, Yejie Wang, Yingwei Ma, Yanhao Li, Yue Liu, Zhenxing Hu, Kaitai Zhang, Shuyi Wang, Huarong Chen, Flood Sung, Yang Liu, Yang Gao, Zhilin Yang, Tianyu Liu:
Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents. CoRR abs/2509.23045 (2025)
[i11]Feifan Song, Shaohang Wei, Bofei Gao, Yejie Wang, Wen Luo, Wei Li, Linli Yao, Weimin Xiong, Liang Chen, Tianyu Liu, Houfeng Wang:
Mitigating Overthinking through Reasoning Shaping. CoRR abs/2510.09535 (2025)
[i10]Yu Zhang, Zongyu Lin, Xingcheng Yao, Jiaxi Hu, Fanqing Meng, Chengyin Liu, Xin Men, Songlin Yang, Zhiyuan Li, Wentao Li, Enzhe Lu, Weizhou Liu, Yanru Chen, Weixin Xu, Longhui Yu, Yejie Wang, Yu Fan, Longguang Zhong, Enming Yuan, Dehao Zhang, Yizhi Zhang, T. Y. Liu, Haiming Wang, Shengjun Fang, Weiran He, Shaowei Liu, Yiwei Li, Jianlin Su, Jiezhong Qiu, Bo Pang, Junjie Yan, Zhejun Jiang, Weixiao Huang, Bohong Yin, Jiacheng You, Chu Wei, Zhengtao Wang, Chao Hong, Yutian Chen, Guanduo Chen, Yucheng Wang, Huabin Zheng, Feng Wang, Yibo Liu, Mengnan Dong, Zheng Zhang, Siyuan Pan, Wenhao Wu, Yuhao Wu, Longyu Guan, Jiawen Tao, Guohong Fu, Xinran Xu, Yuzhi Wang, Guokun Lai, Yuxin Wu, Xinyu Zhou, Zhilin Yang, Yulun Du:
Kimi Linear: An Expressive, Efficient Attention Architecture. CoRR abs/2510.26692 (2025)- 2024
[c6]Yejie Wang, Keqing He, Guanting Dong, Pei Wang
, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) 2024: 4706-4721
[c5]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. LREC/COLING 2024: 2354-2364
[c4]Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. LREC/COLING 2024: 2458-2467
[c3]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data. EMNLP 2024: 14027-14043
[c2]Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. NAACL-HLT (Findings) 2024: 800-813
[i9]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR abs/2402.09136 (2024)
[i8]Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu:
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. CoRR abs/2402.11279 (2024)
[i7]Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu:
PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR abs/2402.11534 (2024)
[i6]Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection. CoRR abs/2402.17256 (2024)
[i5]Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. CoRR abs/2403.01163 (2024)
[i4]Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu:
DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. CoRR abs/2404.00557 (2024)
[i3]Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu:
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. CoRR abs/2406.08587 (2024)
[i2]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR abs/2409.03810 (2024)- 2023
[c1]Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu:
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. ACL (1) 2023: 6532-6546
[i1]Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian, Weiran Xu:
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue. CoRR abs/2306.10315 (2023)
Coauthor Index

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