Zhuoran Jin

According to our database, Zhuoran Jin authored at least 21 papers between 2021 and 2024.

Collaborative distances:

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

2024

CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance.

Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao

CoRR, 2024

Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models.

Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

CoRR, 2024

Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models.

Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu, Jun Zhao

CoRR, 2024

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.

Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao

CoRR, 2024

SimuCourt: Building Judicial Decision-Making Agents with Real-world Judgement Documents.

Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao

CoRR, 2024

Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models.

Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao

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

Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models.

Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao

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

LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning.

Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation.

Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Kang Liu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models.

Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao

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

Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning.

Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao

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

MULFE: A Multi-Level Benchmark for Free Text Model Editing.

Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao

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

Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning.

Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao

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

Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models.

Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching.

Zhuoran Jin, Pengfei Cao, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models.

Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning.

Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding.

Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing.

Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge.

Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, Jun Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet.

Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Jun Zhao

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021