Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. - Yiming Ju; Yuanzhe Zhang; Zhixing Tian; Kang Liu 001; Xiaohuan Cao; Wenting Zhao; Jinlong Li; Jun Zhao 001 (EMNLP (1), 2021)

The Logic Traps in Evaluating Post-hoc Interpretations. - Yiming Ju; Yuanzhe Zhang; Zhao Yang 004; Zhongtao Jiang; Kang Liu 001; Jun Zhao 001 (CoRR, 2021)

Logic Traps in Evaluating Attribution Scores. - Yiming Ju; Yuanzhe Zhang; Zhao Yang 004; Zhongtao Jiang; Kang Liu 001; Jun Zhao 001 (ACL (1), 2022)

Can We Really Trust Explanations? Evaluating the Stability of Feature Attribution Explanation Methods via Adversarial Attack. - Zhao Yang 004; Yuanzhe Zhang; Zhongtao Jiang; Yiming Ju; Jun Zhao 001; Kang Liu 001 (CCL, 2022)

CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. - Yiming Ju; Weikang Wang 005; Yuanzhe Zhang; Suncong Zheng; Kang Liu 001; Jun Zhao 001 (COLING, 2022)

Generating Hierarchical Explanations on Text Classification Without Connecting Rules. - Yiming Ju; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (CoRR, 2022)

A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. - Yiming Ju; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001 (ACL (Findings), 2023)

Unsupervised Text Style Transfer with Deep Generative Models. - Zhongtao Jiang; Yuanzhe Zhang; Yiming Ju; Kang Liu (CoRR, 2023)

KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models. - Yiming Ju; Zheng Zhang (CoRR, 2023)

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. - Yiming Ju; Ziyi Ni; Xingrun Xing; Zhixiong Zeng; Hanyu Zhao; Siqi Fan 001; Zheng Zhang 006 (EMNLP, 2024)

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. - Xingrun Xing; Zheng Zhang 006; Ziyi Ni; Shitao Xiao; Yiming Ju; Siqi Fan 001; Yequan Wang; Jiajun Zhang; Guoqi Li (ICML, 2024)

KLoB: a Benchmark for Assessing Knowledge Localization Methods in Language Models. - Yiming Ju; Huimin Ma; Xingrun Xing; Zhixiong Zeng (PRICAI (2), 2024)

AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies. - Bo-Wen Zhang 011; Liangdong Wang; Ye Yuan 016; Jijie Li; Shuhao Gu; Mengdi Zhao; Xinya Wu; Guang Liu 006; Chengwei Wu; Hanyu Zhao; Li Du; Yiming Ju; et al. (CoRR, 2024)

Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency. - Hanyu Zhao; Li Du; Yiming Ju; Chengwei Wu; Tengfei Pan (CoRR, 2024)

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. - Yiming Ju; Ziyi Ni; Xingrun Xing; Zhixiong Zeng; Hanyu Zhao; Siqi Fan 001; Zheng Zhang 020 (CoRR, 2024)

Training Data for Large Language Model. - Yiming Ju; Huanhuan Ma (CoRR, 2024)

Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. - Zhao Yang 004; Yuanzhe Zhang; Dianbo Sui; Yiming Ju; Jun Zhao 001; Kang Liu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency. - Hanyu Zhao; Li Du; Yiming Ju; Chengwei Wu; Tengfei Pan (AAAI, 2025)

Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement. - Xiaowei Yuan; Zhao Yang 004; Ziyang Huang; Yequan Wang; Siqi Fan 001; Yiming Ju; Jun Zhao 001; Kang Liu 001 (ACL (1), 2025)

Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent. - Ziyang Huang; Xiaowei Yuan; Yiming Ju; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

CI-VID: A Coherent Interleaved Text-Video Dataset. - Yiming Ju; Jijin Hu; Zhengxiong Luo; Haoge Deng; Hanyu Zhao; Li Du; Chengwei Wu; Donglin Hao; Xinlong Wang; Tengfei Pan (CoRR, 2025)

Scaling Towards the Information Boundary of Instruction Set: InfinityInstruct-Subject Technical Report. - Li Du; Hanyu Zhao; Yiming Ju; Tengfei Pan (CoRR, 2025)