CCKS 2019 Shared Task on Inter-Personal Relationship Extraction. - Haitao Wang 019; Zhengqiu He; Tong Zhu 002; Hao Shao; Wenliang Chen; Min Zhang 005 (CoRR, 2019)

Improving Relation Extraction with Relational Paraphrase Sentences. - Junjie Yu; Tong Zhu 002; Wenliang Chen; Wei Zhang 027; Min Zhang 005 (COLING, 2020)

Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction. - Tong Zhu 002; Haitao Wang 019; Junjie Yu; Xiabing Zhou; Wenliang Chen; Wei Zhang 027; Min Zhang 005 (COLING, 2020)

A Prior Information Enhanced Extraction Framework for Document-level Financial Event Extraction. - Haitao Wang 019; Tong Zhu 002; Mingtao Wang; Guoliang Zhang; Wenliang Chen (Data Intell., 2021)

Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. - Tong Zhu 002; Xiaoye Qu; Wenliang Chen; Zhefeng Wang 001; Baoxing Huai; Nicholas Jing Yuan; Min Zhang 005 (IJCAI, 2022)

Mirror: A Universal Framework for Various Information Extraction Tasks. - Tong Zhu 002; Junfei Ren; Zijian Yu; Mengsong Wu; Guoliang Zhang; Xiaoye Qu; Wenliang Chen; Zhefeng Wang 001; Baoxing Huai; Min Zhang 005 (EMNLP, 2023)

CED: Catalog Extraction from Documents. - Tong Zhu 002; Guoliang Zhang; Zechang Li; Zijian Yu; Junfei Ren; Mengsong Wu; Zhefeng Wang 001; Baoxing Huai; Pingfu Chao; Wenliang Chen (ICDAR (3), 2023)

Probing Language Models for Pre-training Data Detection. - Zhenhua Liu; Tong Zhu 002; Chuanyuan Tan; Bing Liu; Haonan Lu; Wenliang Chen (ACL (1), 2024)

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? - Zhaochen Su; Juntao Li; Jun Zhang; Tong Zhu 002; Xiaoye Qu; Pan Zhou 001; Yan Bowen; Yu Cheng 001; Min Zhang 005 (ACL (1), 2024)

MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking. - Tianwen Tang; Tong Zhu 002; Haodong Liu; Yin Bai; Jia Cheng; Wenliang Chen (LREC/COLING, 2024)

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training. - Tong Zhu 002; Xiaoye Qu; Daize Dong; Jiacheng Ruan; Jingqi Tong; Conghui He; Yu Cheng 001 (EMNLP, 2024)

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs. - Zhaochen Su; Jun Zhang; Xiaoye Qu; Tong Zhu 002; Yanshu Li; Jiashuo Sun; Juntao Li; Min Zhang 005; Yu Cheng 001 (NeurIPS, 2024)

Seal-Tools: Self-instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark. - Mengsong Wu; Tong Zhu 002; Han Han; Chuanyuan Tan; Xiang Zhang; Wenliang Chen (NLPCC (2), 2024)

Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation. - Zhenhua Liu; Tong Zhu 002; Jianxiang Xiang; Wenliang Chen (CoRR, 2024)

Timo: Towards Better Temporal Reasoning for Language Models. - Zhaochen Su; Jun Zhang; Tong Zhu 002; Xiaoye Qu; Juntao Li; Min Zhang 005; Yu Cheng 001 (CoRR, 2024)

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM. - Zhaochen Su; Jun Zhang; Xiaoye Qu; Tong Zhu 002; Yanshu Li; Jiashuo Sun; Juntao Li; Min Zhang 005; Yu Cheng 001 (CoRR, 2024)

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling. - Jihai Zhang 002; Xiaoye Qu; Tong Zhu 002; Yu Cheng 001 (CoRR, 2024)

LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training. - Xiaoye Qu; Daize Dong; Xuyang Hu; Tong Zhu 002; Weigao Sun; Yu Cheng 001 (CoRR, 2024)

UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions. - Chuanyuan Tan; Wenbiao Shao; Hao Xiong; Tong Zhu 002; Zhenhua Liu; Kai Shi; Wenliang Chen (ACL (Findings), 2025)

NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models. - Han Han; Tong Zhu 002; Xiang Zhang; Mengsong Wu; Hao Xiong; Wenliang Chen (COLING, 2025)

Learning to Refuse: Towards Mitigating Privacy Risks in LLMs. - Zhenhua Liu; Tong Zhu 002; Chuanyuan Tan; Wenliang Chen (COLING, 2025)

Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts. - Tong Zhu 002; Daize Dong; Xiaoye Qu; Jiacheng Ruan; Wenliang Chen; Yu Cheng 001 (NAACL (Long Papers), 2025)

Iterative Value Function Optimization for Guided Decoding. - Zhenhua Liu; Lijun Li; Ruizhe Chen; Yuxian Jiang; Tong Zhu 002; Zhaochen Su; Wenliang Chen; Jing Shao (CoRR, 2025)

Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts. - Weigao Sun; Disen Lan; Tong Zhu 002; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)

Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models. - Mengsong Wu; Tong Zhu 002; Han Han; Xiang Zhang; Wenbiao Shao; Wenliang Chen (CoRR, 2025)

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models. - Weigao Sun; Jiaxi Hu; Yucheng Zhou 001; Jusen Du; Disen Lan; Kexin Wang; Tong Zhu 002; Xiaoye Qu; Yu Zhang; Xiaoyu Mo; Daizong Liu; Yuxuan Liang; et al. (CoRR, 2025)