Search Results - Sui Zhifang

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  1. 21
    Self-Boosting Large Language Models with Synthetic Preference Data

    Self-Boosting Large Language Models with Synthetic Preference Data by Dong, Qingxiu, Li, Dong, Zhang, Xingxing, Sui, Zhifang, Furu Wei

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  2. 22
    On automatic construction of based-NLP Chinese medicine ontology concept's description architacture

    On automatic construction of based-NLP Chinese medicine ontology concept's description architacture by Yao Liu, Xuefei Chen, Zhifang Sui, Huili Wang, Yang Zhou

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  3. 23
    Can Large Multimodal Models Uncover Deep Semantics Behind Images?

    Can Large Multimodal Models Uncover Deep Semantics Behind Images? by Yang, Yixin, Li, Zheng, Dong, Qingxiu, Xia, Heming, Sui, Zhifang

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  4. 24
    The Building of a CBD-Based Domain Ontology in Chinese

    The Building of a CBD-Based Domain Ontology in Chinese by Sui, Zhifang, Zhao, Jun, Kang, Wei, Zhao, Qingliang

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  5. 25
    WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks

    WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks by Hu, Zijian, Luo, Fuli, Tan, Yutong, Zeng, Wenxin, Sui, Zhifang

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  6. 26
    Large Language Models Are Unconscious of Unreasonability in Math Problems

    Large Language Models Are Unconscious of Unreasonability in Math Problems by Ma, Jingyuan, Dai, Damai, Sha, Lei, Sui, Zhifang

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  7. 27
    Measuring Termhood in Automatic Terminology Extraction

    Measuring Termhood in Automatic Terminology Extraction by Qinlong Zhang, Qin Lu, Zhifang Sui

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  8. 28
    Statistical Knowledge Assessment for Large Language Models

    Statistical Knowledge Assessment for Large Language Models by Dong, Qingxiu, Xu, Jingjing, Kong, Lingpeng, Sui, Zhifang, Li, Lei

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  9. 29
    Guiding AMR Parsing with Reverse Graph Linearization

    Guiding AMR Parsing with Reverse Graph Linearization by Gao, Bofei, Chen, Liang, Wang, Peiyi, Sui, Zhifang, Chang, Baobao

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  10. 30
    Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning

    Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context Learning by Yang, Zhe, Dai, Damai, Wang, Peiyi, Sui, Zhifang

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  11. 31
    Chip-Tuning: Classify Before Language Models Say

    Chip-Tuning: Classify Before Language Models Say by Zhu, Fangwei, Li, Dian, Huang, Jiajun, Liu, Gang, Wang, Hui, Sui, Zhifang

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  12. 32
    Statistical Dataset Evaluation: Reliability, Difficulty, and Validity

    Statistical Dataset Evaluation: Reliability, Difficulty, and Validity by Wang, Chengwen, Dong, Qingxiu, Wang, Xiaochen, Wang, Haitao, Sui, Zhifang

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  13. 33
    FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering

    FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering by Wang, Xiaochen, He, Junqing, yang, Zhe, Wang, Yiru, Meng, Xiangdi, Pan, Kunhao, Sui, Zhifang

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  14. 34
    Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?

    Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? by Yang, Zhe, Zhang, Yichang, Liu, Tianyu, Yang, Jian, Lin, Junyang, Zhou, Chang, Sui, Zhifang

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  15. 35
    Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens

    Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens by Luo, Weiyao, Zheng, Suncong, Xia, Heming, Wang, Weikang, Yan, Lei, Liu, Tianyu, Chen, Shuang, Sui, Zhifang

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  16. 36
    SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine

    SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine by Wang, Xiaochen, He, Junqing, Chen, Liang, Reza Haf Zhe Yang, Wang, Yiru, Meng, Xiangdi, Pan, Kunhao, Sui, Zhifang

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  17. 37
    Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation

    Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation by Xia, Heming, Ge, Tao, Wang, Peiyi, Si-Qing, Chen, Furu Wei, Sui, Zhifang

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  18. 38
    Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization

    Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization by Tong, Shoujie, Xia, Heming, Dai, Damai, Xu, Runxin, Liu, Tianyu, Lin, Binghuai, Cao, Yunbo, Sui, Zhifang

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  19. 39
    ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories

    ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories by Xia, Heming, Dong, Qingxiu, Li, Lei, Xu, Jingjing, Liu, Tianyu, Qin, Ziwei, Sui, Zhifang

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  20. 40
    InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective

    InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective by Song, Yifan, Wang, Peiyi, Xiong, Weimin, Zhu, Dawei, Liu, Tianyu, Sui, Zhifang, Li, Sujian

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