Qianyu He

According to our database, Qianyu He authored at least 20 papers between 2022 and 2024.

Collaborative distances:

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

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

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

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