Can Pre-trained Language Models Interpret Similes as Smart as Human? - Qianyu He; Sijie Cheng; Zhixu Li; Rui Xie 005; Yanghua Xiao (ACL (1), 2022)

A Context-Enhanced Generate-then-Evaluate Framework for Chinese Abbreviation Prediction. - Hanwen Tong; Chenhao Xie 002; Jiaqing Liang; Qianyu He; Zhiang Yue; Jingping Liu; Yanghua Xiao; Wenguang Wang (CIKM, 2022)

Language Models as Knowledge Embeddings. - Xintao Wang 001; Qianyu He; Jiaqing Liang; Yanghua Xiao (IJCAI, 2022)

MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base. - Qianyu He; Xintao Wang 001; Jiaqing Liang; Yanghua Xiao (AAAI, 2023)

HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation. - Qianyu He; Yikai Zhang 004; Jiaqing Liang; Yuncheng Huang; Yanghua Xiao; Yunwen Chen (ACL (1), 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)

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 026; Wenhao Huang; Zili Wang; et al. (CoRR, 2023)

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases. - Xintao Wang 001; Qianwen Yang; Yongting Qiu; Jiaqing Liang; Qianyu He; Zhouhong Gu; Yanghua Xiao; Wei Wang 009 (CoRR, 2023)

Can Large Language Models Understand Real-World Complex Instructions? - Qianyu He; Jie Zeng 003; Wenhao Huang; Lina Chen; Jin Xiao; Qianxi He; Xunzhe Zhou; Lida Chen; Xintao Wang 001; Yuncheng Huang; Haoning Ye; Zihan Li; et al. (CoRR, 2023)

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 026; et al. (AAAI, 2024)

Small Language Model Can Self-Correct. - Haixia Han; Jiaqing Liang; Jie Shi; Qianyu He; Yanghua Xiao (AAAI, 2024)

Can Large Language Models Understand Real-World Complex Instructions? - Qianyu He; Jie Zeng 003; Wenhao Huang; Lina Chen; Jin Xiao; Qianxi He; Xunzhe Zhou; Jiaqing Liang; Yanghua Xiao (AAAI, 2024)

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models. - Yikai Zhang 004; Qianyu He; Xintao Wang 001; Siyu Yuan; Jiaqing Liang; Yanghua Xiao (ACL (Findings), 2024)

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models. - Qianyu He; Jie Zeng 003; Qianxi He; Jiaqing Liang; Yanghua Xiao (EMNLP (Findings), 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 (EMNLP (Findings), 2024)

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception. - Yuncheng Huang; Qianyu He; Jiaqing Liang; Sihang Jiang; Yanghua Xiao; Yunwen Chen (ICDE, 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 (NAACL-HLT (Findings), 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)

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)

Step-by-Step Mastery: Enhancing Soft Constraint Following Ability of Large Language Models. - Qingyu Ren; Jie Zeng 003; Qianyu He; Jiaqing Liang; Yanghua Xiao; Weikang Zhou; Zeye Sun; Fei Yu (ACL (Findings), 2025)

Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following. - Jie Zeng 003; Qianyu He; Qingyu Ren; Jiaqing Liang; Weikang Zhou; Zeye Sun; Fei Yu; Yanghua Xiao (ACL (Findings), 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 (ICLR, 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, 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, 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, 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; et al. (CoRR, 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; et al. (CoRR, 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 012; Mingxuan Wang (CoRR, 2025)

Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following. - Qingyu Ren; Qianyu He; Bowei Zhang; Jie Zeng 003; Jiaqing Liang; Yanghua Xiao; Weikang Zhou; Zeye Sun; Fei Yu (CoRR, 2025)