Yiming Ju

27 papers A* 4B 1Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
DataCube: A Video Retrieval Platform via Natural Language Semantic Profiling.
CoRR
Yiming Ju, Hanyu Zhao, Quanyue Ma, Donglin Hao, Chengwei Wu, Ming Li, Songjing Wang, Tengfei Pan
2026 A* conf
Scaling Towards the Information Boundary of Instructions through Data Synthesizing.
AAAI
Li Du, Hanyu Zhao, Yiming Ju, Tengfei Pan
2025 J jnl
Accelerate Scaling of LLM Alignment via Quantifying the Coverage and Depth of Instruction Set.
CoRR
Chengwei Wu, Li Du, Hanyu Zhao, Yiming Ju, Jiapu Wang, Tengfei Pan
2025 A* conf
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency.
AAAI
Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan
2025 J jnl
CI-VID: A Coherent Interleaved Text-Video Dataset.
CoRR
Yiming Ju, Jijin Hu, Zhengxiong Luo, Haoge Deng, Hanyu Zhao, Li Du, Chengwei Wu, Donglin Hao, Xinlong Wang, Tengfei Pan
2025 — conf
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement.
ACL (1)
Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu
2025 J jnl
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement.
CoRR
Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu
2025 J jnl
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent.
CoRR
Ziyang Huang, Xiaowei Yuan, Yiming Ju, Jun Zhao, Kang Liu
2025 J jnl
Scaling Towards the Information Boundary of Instruction Set: InfinityInstruct-Subject Technical Report.
CoRR
Li Du, Hanyu Zhao, Yiming Ju, Tengfei Pan
2024 J jnl
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies.
CoRR
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
2024 J jnl
Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency.
CoRR
Hanyu Zhao, Li Du, Yiming Ju, Chengwei Wu, Tengfei Pan
2024 J jnl
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu
2024 — conf
KLoB: a Benchmark for Assessing Knowledge Localization Methods in Language Models.
PRICAI (2)
Yiming Ju, Huimin Ma, Xingrun Xing, Zhixiong Zeng
2024 A* conf
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging.
EMNLP
Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao, Siqi Fan, Zheng Zhang
2024 J jnl
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging.
CoRR
Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao, Siqi Fan, Zheng Zhang
2024 A* conf
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms.
ICML
Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li
2024 J jnl
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms.
CoRR
Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li
2024 J jnl
Training Data for Large Language Model.
CoRR
Yiming Ju, Huanhuan Ma
2023 — conf
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection.
ACL (Findings)
Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao
2023 J jnl
KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models.
CoRR
Yiming Ju, Zheng Zhang
2023 J jnl
Unsupervised Text Style Transfer with Deep Generative Models.
CoRR
Zhongtao Jiang, Yuanzhe Zhang, Yiming Ju, Kang Liu
2022 B conf
CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers.
COLING
Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao
2022 — conf
Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack.
CCL
Zhao Yang, Yuanzhe Zhang, Zhongtao Jiang, Yiming Ju, Jun Zhao, Kang Liu
2022 J jnl
Generating Hierarchical Explanations on Text Classification Without Connecting Rules.
CoRR
Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao
2022 — conf
Logic Traps in Evaluating Attribution Scores.
ACL (1)
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao
2021 — conf
Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations.
EMNLP (1)
Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao
2021 J jnl
The Logic Traps in Evaluating Post-hoc Interpretations.
CoRR
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao