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2020 – today
- 2024
[j1]Zhao Yang
, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu:
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(2): 32:1-32:19 (2024)- [c8]Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao, Siqi Fan, Zheng Zhang:
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. EMNLP 2024: 15952-15959 - [c7]Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. ICML 2024 - [c6]Yiming Ju, Huimin Ma, Xingrun Xing, Zhixiong Zeng:
KLoB: a Benchmark for Assessing Knowledge Localization Methods in Language Models. PRICAI (2) 2024: 376-387 - [i8]Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. CoRR abs/2406.03287 (2024) - [i7]Bo-Wen Zhang, Liangdong Wang, Ye Yuan, Jijie Li, Shuhao Gu, Mengdi Zhao, Xinya Wu, Guang Liu, Chengwei Wu, Hanyu Zhao, Li Du, Yiming Ju, Quanyue Ma, Yulong Ao, Yingli Zhao, Songhe Zhu, Zhou Cao, Dong Liang, Yonghua Lin, Ming Zhang, Shunfei Wang, Yanxin Zhou, Min Ye, Xuekai Chen, Xinyang Yu, Xiangjun Huang, Jian Yang:
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies. CoRR abs/2408.06567 (2024) - [i6]Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan:
Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency. CoRR abs/2409.07045 (2024) - [i5]Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao, Siqi Fan, Zheng Zhang:
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. CoRR abs/2410.03743 (2024) - 2023
- [c5]Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao:
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. ACL (Findings) 2023: 12600-12611 - [i4]Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, Kang Liu:
Unsupervised Text Style Transfer with Deep Generative Models. CoRR abs/2308.16584 (2023) - [i3]Yiming Ju, Zheng Zhang:
KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models. CoRR abs/2309.16535 (2023) - 2022
- [c4]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
Logic Traps in Evaluating Attribution Scores. ACL (1) 2022: 5911-5922 - [c3]Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu:
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. CCL 2022: 281-297 - [c2]Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao:
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. COLING 2022: 1697-1707 - [i2]Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Generating Hierarchical Explanations on Text Classification Without Connecting Rules. CoRR abs/2210.13270 (2022) - 2021
- [c1]Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao:
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. EMNLP (1) 2021: 3641-3652 - [i1]Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao:
The Logic Traps in Evaluating Post-hoc Interpretations. CoRR abs/2109.05463 (2021)
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