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Hao He

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Understanding LLMs: A Comprehensive Overview from Training to Inference

Jan 06, 2024
Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge

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Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent

Dec 17, 2023
Haoran Liao, Qinyi Du, Shaohua Hu, Hao He, Yanyan Xu, Jidong Tian, Yaohui Jin

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Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis

Dec 12, 2023
Caoyun Fan, Jindou Chen, Yaohui Jin, Hao He

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Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection

Dec 12, 2023
Caoyun Fan, Jidong Tian, Yitian Li, Hao He, Yaohui Jin

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Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation

Oct 29, 2023
Fei Zhang, Tianfei Zhou, Boyang Li, Hao He, Chaofan Ma, Tianjiao Zhang, Jiangchao Yao, Ya Zhang, Yanfeng Wang

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Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding

Oct 18, 2023
Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin

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Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality

Oct 11, 2023
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin

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Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization

Oct 10, 2023
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin

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Randomized algorithms for precise measurement of differentially-private, personalized recommendations

Aug 08, 2023
Allegra Laro, Yanqing Chen, Hao He, Babak Aghazadeh

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