Tong Zhu

According to our database, Tong Zhu authored at least 26 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models.

Weigao Sun, Jiaxi Hu, Yucheng Zhou, Jusen Du, Disen Lan, Kexin Wang, Tong Zhu, Xiaoye Qu, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng

CoRR, August, 2025

Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models.

Mengsong Wu, Tong Zhu, Han Han, Xiang Zhang, Wenbiao Shao, Wenliang Chen

CoRR, March, 2025

Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts.

Weigao Sun, Disen Lan, Tong Zhu, Xiaoye Qu, Yu Cheng

CoRR, March, 2025

Iterative Value Function Optimization for Guided Decoding.

Zhenhua Liu, Lijun Li, Ruizhe Chen, Yuxian Jiang, Tong Zhu, Zhaochen Su, Wenliang Chen, Jing Shao

CoRR, March, 2025

Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.

Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Learning to Refuse: Towards Mitigating Privacy Risks in LLMs.

Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Wenliang Chen

Proceedings of the 31st International Conference on Computational Linguistics, 2025

NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models.

Han Han, Tong Zhu, Xiang Zhang, Mengsong Wu, Hao Xiong, Wenliang Chen

Proceedings of the 31st International Conference on Computational Linguistics, 2025

UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions.

Chuanyuan Tan, Wenbiao Shao, Hao Xiong, Tong Zhu, Zhenhua Liu, Kai Shi, Wenliang Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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, Weigao Sun, Yu Cheng

CoRR, 2024

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling.

Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng

CoRR, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.

Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

CoRR, 2024

Timo: Towards Better Temporal Reasoning for Language Models.

Zhaochen Su, Jun Zhang, Tong Zhu, Xiaoye Qu, Juntao Li, Min Zhang, Yu Cheng

CoRR, 2024

Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation.

Zhenhua Liu, Tong Zhu, Jianxiang Xiang, Wenliang Chen

CoRR, 2024

Seal-Tools: Self-instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark.

Mengsong Wu, Tong Zhu, Han Han, Chuanyuan Tan, Xiang Zhang, Wenliang Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.

Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training.

Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking.

Tianwen Tang, Tong Zhu, Haodong Liu, Yin Bai, Jia Cheng, Wenliang Chen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?

Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Probing Language Models for Pre-training Data Detection.

Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Bing Liu, Haonan Lu, Wenliang Chen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

CED: Catalog Extraction from Documents.

Tong Zhu, Guoliang Zhang, Zechang Li, Zijian Yu, Junfei Ren, Mengsong Wu, Zhefeng Wang, Baoxing Huai, Pingfu Chao, Wenliang Chen

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Mirror: A Universal Framework for Various Information Extraction Tasks.

Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph.

Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

A Prior Information Enhanced Extraction Framework for Document-level Financial Event Extraction.

Haitao Wang, Tong Zhu, Mingtao Wang, Guoliang Zhang, Wenliang Chen

Data Intell., 2021

2020

Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction.

Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei Zhang, Min Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Improving Relation Extraction with Relational Paraphrase Sentences.

Junjie Yu, Tong Zhu, Wenliang Chen, Wei Zhang, Min Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

CCKS 2019 Shared Task on Inter-Personal Relationship Extraction.

Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang

CoRR, 2019