Ze-Feng Gao
2024
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study
Peiyu Liu
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Zikang Liu
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Ze-Feng Gao
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Dawei Gao
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Wayne Xin Zhao
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Yaliang Li
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Bolin Ding
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Ji-Rong Wen
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank
Peiyu Liu
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Ze-Feng Gao
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Xiao Zhang
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Wayne Xin Zhao
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Ji-Rong Wen
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
2023
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing
Peiyu Liu
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Ze-Feng Gao
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Yushuo Chen
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Xin Zhao
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Ji-Rong Wen
Findings of the Association for Computational Linguistics: EMNLP 2023
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
Ze-Feng Gao
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Kun Zhou
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Peiyu Liu
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Wayne Xin Zhao
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Ji-Rong Wen
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2022
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models
Ze-Feng Gao
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Peiyu Liu
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Wayne Xin Zhao
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Zhong-Yi Lu
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Ji-Rong Wen
Proceedings of the 29th International Conference on Computational Linguistics
2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
Peiyu Liu
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Ze-Feng Gao
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Wayne Xin Zhao
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Zhi-Yuan Xie
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Zhong-Yi Lu
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Ji-Rong Wen
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Co-authors
- Peiyu Liu 6
- Wayne Xin Zhao 6
- Ji-Rong Wen 6
- Zhong-Yi Lu 2
- Zikang Liu 1
- show all...