Search Results - Dong, Qingxiu

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  1. 1
    Further Explanations on "SAT Requires Exhaustive Search"

    Further Explanations on "SAT Requires Exhaustive Search" by Dong, Qingxiu, Zhou, Guangyan, Xu, Ke

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  2. 2
    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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  3. 3
    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. 4
    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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  5. 5
    Data Selection via Optimal Control for Language Models

    Data Selection via Optimal Control for Language Models by Gu, Yuxian, Li, Dong, Wang, Hongning, Hao, Yaru, Dong, Qingxiu, Furu Wei, Huang, Minlie

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  6. 6
    A Challenging Benchmark for Low-Resource Learning

    A Challenging Benchmark for Low-Resource Learning by Wang, Yudong, Chang, Ma, Dong, Qingxiu, Kong, Lingpeng, Xu, Jingjing

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  7. 7
    Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models

    Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models by Xu, Jingjing, Dong, Qingxiu, Liu, Hongyi, Li, Lei

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  8. 8
    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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  9. 9
    ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation

    ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation by Dong, Qingxiu, Wan, Xiaojun, Cao, Yue

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  10. 10
    Towards Optimal Learning of Language Models

    Towards Optimal Learning of Language Models by Gu, Yuxian, Li, Dong, Hao, Yaru, Dong, Qingxiu, Huang, Minlie, Furu Wei

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  11. 11
    Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

    Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis by Zhu, Wenhao, Liu, Hongyi, Dong, Qingxiu, Xu, Jingjing, Huang, Shujian, Kong, Lingpeng, Chen, Jiajun, Li, Lei

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  12. 12
    Large Language Model for Science: A Study on P vs. NP

    Large Language Model for Science: A Study on P vs. NP by Dong, Qingxiu, Li, Dong, Xu, Ke, Zhou, Guangyan, Hao, Yaru, Sui, Zhifang, Furu Wei

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  13. 13
    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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  14. 14
    Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding

    Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding by Xia, Heming, Yang, Zhe, Dong, Qingxiu, Wang, Peiyi, Li, Yongqi, Ge, Tao, Liu, Tianyu, Li, Wenjie, Sui, Zhifang

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  15. 15
    Can Language Models Understand Physical Concepts?

    Can Language Models Understand Physical Concepts? by Li, Lei, Xu, Jingjing, Dong, Qingxiu, Zheng, Ce, Liu, Qi, Kong, Lingpeng, Xu, Sun

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  16. 16
    Can We Edit Factual Knowledge by In-Context Learning?

    Can We Edit Factual Knowledge by In-Context Learning? by Zheng, Ce, Li, Lei, Dong, Qingxiu, Fan, Yuxuan, Wu, Zhiyong, Xu, Jingjing, Chang, Baobao

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  17. 17
    PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization

    PeriodicLoRA: Breaking the Low-Rank Bottleneck in LoRA Optimization by Meng, Xiangdi, Dai, Damai, Luo, Weiyao, Yang, Zhe, Wu, Shaoxiang, Wang, Xiaochen, Wang, Peiyi, Dong, Qingxiu, Chen, Liang, Sui, Zhifang

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  18. 18
    Problems and Countermeasures in Natural Language Processing Evaluation

    Problems and Countermeasures in Natural Language Processing Evaluation by Dong, Qingxiu, Sui, Zhifang, Zhan, Weidong, Chang, Baobao

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  19. 19
    A Survey on In-context Learning

    A Survey on In-context Learning by Dong, Qingxiu, Li, Lei, Dai, Damai, Zheng, Ce, Ma, Jingyuan, Li, Rui, Xia, Heming, Xu, Jingjing, Wu, Zhiyong, Liu, Tianyu, Chang, Baobao, Xu, Sun, Sui, Zhifang

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  20. 20
    Calibrating Factual Knowledge in Pretrained Language Models

    Calibrating Factual Knowledge in Pretrained Language Models by Dong, Qingxiu, Dai, Damai, Song, Yifan, Xu, Jingjing, Sui, Zhifang, Li, Lei

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