Qianyu He

According to our database, Qianyu He authored at least 29 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following.

Qingyu Ren, Qianyu He, Bowei Zhang, Jie Zeng, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu

CoRR, August, 2025

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles.

Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Qiying Yu, Xuefeng Li, Jiaze Chen, Hao Zhou, Mingxuan Wang

CoRR, May, 2025

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation.

Jiajun Shi, Jian Yang, Jiaheng Liu, Xingyuan Bu, Jiangjie Chen, Junting Zhou, Kaijing Ma, Zhoufutu Wen, Bingli Wang, Yancheng He, Liang Song, Hualei Zhu, Shilong Li, Xingjian Wang, Wei Zhang, Ruibin Yuan, Yifan Yao, Wenjun Yang, Yunli Wang, Siyuan Fang, Siyu Yuan, Qianyu He, Xiangru Tang, Yingshui Tan, Wangchunshu Zhou, Zhaoxiang Zhang, Zhoujun Li, Wenhao Huang, Ge Zhang

CoRR, May, 2025

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning.

Jiaze Chen, Tiantian Fan, Xin Liu, Lingjun Liu, Zhiqi Lin, Mingxuan Wang, Chengyi Wang, Xiangpeng Wei, Wenyuan Xu, Yufeng Yuan, Yu Yue, Lin Yan, Qiying Yu, Xiaochen Zuo, Chi Zhang, Ruofei Zhu, Zhecheng An, Zhihao Bai, Yu Bao, Xingyan Bin, Jiangjie Chen, Feng Chen, Hongmin Chen, Riwei Chen, Liangqiang Chen, Zixin Chen, Jinsong Chen, Siyan Chen, Kaiyuan Chen, Zhi Chen, Jin Chen, Jiecao Chen, Jinxin Chi, Weinan Dai, Ning Dai, Jiahui Dai, Shihan Dou, Yantao Du, Zhengyin Du, Jianhui Duan, Chen Dun, Ting-Han Fan, Jiazhan Feng, Junda Feng, Ziyuan Feng, Yuwei Fu, Wenqi Fu, Hanjie Fu, Hao Ge, Hongyi Guo, Mingji Han, Li Han, Wenhao Hao, Xintong Hao, Qianyu He, Jerry He, Feng He, Wen Heng, Zehua Hong, Qi Hou, Liang Hu, Shengding Hu, Nan Hu, Kai Hua, Qi Huang, Ziyue Huang, Hongzhi Huang, Zihao Huang, Ting Huang, Wenhao Huang, Wei Jia, Bin Jia, Xiaoying Jia, Yuhua Jiang, Haobin Jiang, Ziheng Jiang, Kaihua Jiang, Chengquan Jiang, Jianpeng Jiao, Xiaoran Jin, Xing Jin, Xunhao Lai, Zheng Li, Xiang Li, Liyi Li, Hongkai Li, Zheng Li, Shengxian Wan, Ya Wang, Yunshui Li, Chenggang Li, Niuniu Li, Siyu Li, Xi Li, Xiao Li, Aoyan Li, Yuntao Li, Nianning Liang, Xinnian Liang

CoRR, April, 2025

Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation.

Qianxi He, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu

CoRR, February, 2025

ChemHTS: Hierarchical Tool Stacking for Enhancing Chemical Agents.

Zhucong Li, Jin Xiao, Bowei Zhang, Zhijian Zhou, Qianyu He, Fenglei Cao, Jiaqing Liang, Yuan Qi

CoRR, February, 2025

Application of machine learning algorithm in temperature field reconstruction.

Qianyu He, Huaiwei Sun, Yubo Li, Zhiwen You, Qiming Zheng, Yinghan Huang, Sipeng Zhu, Fengyu Wang

CoRR, February, 2025

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models.

Chengyu Du, Jinyi Han, Yizhou Ying, Aili Chen, Qianyu He, Haokun Zhao, Haoran Guo, Sirui Xia, Jiaqing Liang, Zulong Chen, Liangyue Li, Yanghua Xiao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following.

Jie Zeng, Qianyu He, Qingyu Ren, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models.

Qingyu Ren, Jie Zeng, Qianyu He, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

QUILL: Quotation Generation Enhancement of Large Language Models.

Jin Xiao, Bowei Zhang, Qianyu He, Jiaqing Liang, Feng Wei, Jinglei Chen, Zujie Liang, Deqing Yang, Yanghua Xiao

CoRR, 2024

Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks.

Yuncheng Huang, Qianyu He, Yipei Xu, Jiaqing Liang, Yanghua Xiao

CoRR, 2024

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding.

Yanda Li, Dixuan Wang, Jiaqing Liang, Guochao Jiang, Qianyu He, Yanghua Xiao, Deqing Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception.

Yuncheng Huang, Qianyu He, Jiaqing Liang, Sihang Jiang, Yanghua Xiao, Yunwen Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases.

Wenhao Huang, Qianyu He, Zhixu Li, Jiaqing Liang, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models.

Qianyu He, Jie Zeng, Qianxi He, Jiaqing Liang, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models.

Yikai Zhang, Qianyu He, Xintao Wang, Siyu Yuan, Jiaqing Liang, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Can Large Language Models Understand Real-World Complex Instructions?

Qianyu He, Jie Zeng, Wenhao Huang, Lina Chen, Jin Xiao, Qianxi He, Xunzhe Zhou, Jiaqing Liang, Yanghua Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Small Language Model Can Self-Correct.

Haixia Han, Jiaqing Liang, Jie Shi, Qianyu He, Yanghua Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Can Large Language Models Understand Real-World Complex Instructions?

Qianyu He, Jie Zeng, Wenhao Huang, Lina Chen, Jin Xiao, Qianxi He, Xunzhe Zhou, Lida Chen, Xintao Wang, Yuncheng Huang, Haoning Ye, Zihan Li, Shisong Chen, Yikai Zhang, Zhouhong Gu, Jiaqing Liang, Yanghua Xiao

CoRR, 2023

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases.

Xintao Wang, Qianwen Yang, Yongting Qiu, Jiaqing Liang, Qianyu He, Zhouhong Gu, Yanghua Xiao, Wei Wang

CoRR, 2023

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Qianyu He, Rui Xu, Wenhao Huang, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao

CoRR, 2023

BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark.

Dakuan Lu, Hengkui Wu, Jiaqing Liang, Yipei Xu, Qianyu He, Yipeng Geng, Mengkun Han, Yingsi Xin, Yanghua Xiao

CoRR, 2023

HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation.

Qianyu He, Yikai Zhang, Jiaqing Liang, Yuncheng Huang, Yanghua Xiao, Yunwen Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base.

Qianyu He, Xintao Wang, Jiaqing Liang, Yanghua Xiao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Language Models as Knowledge Embeddings.

Xintao Wang, Qianyu He, Jiaqing Liang, Yanghua Xiao

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction.

Hanwen Tong, Chenhao Xie, Jiaqing Liang, Qianyu He, Zhiang Yue, Jingping Liu, Yanghua Xiao, Wenguang Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Can Pre-trained Language Models Interpret Similes as Smart as Human?

Qianyu He, Sijie Cheng, Zhixu Li, Rui Xie, Yanghua Xiao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022