Tong Zhu

Affiliations:
  • Soochow University, Institute of Computer Science and Technology, Suzhou, China


According to our database1, Tong Zhu authored at least 21 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
2025
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5
10
15
7
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2
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2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training.
CoRR, 2024

NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models.
CoRR, 2024

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling.
CoRR, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.
CoRR, 2024

Timo: Towards Better Temporal Reasoning for Language Models.
CoRR, 2024

Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.
CoRR, 2024

Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation.
CoRR, 2024

Seal-Tools: Self-instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MoPE: Mixture of Prefix Experts for Zero-Shot Dialogue State Tracking.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
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.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
CED: Catalog Extraction from Documents.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Mirror: A Universal Framework for Various Information Extraction Tasks.
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.
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.
Data Intell., 2021

2020
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Improving Relation Extraction with Relational Paraphrase Sentences.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
CCKS 2019 Shared Task on Inter-Personal Relationship Extraction.
CoRR, 2019


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