Publications

Please see Google Scholar for more recent works and arXiv papers.

* : Equal contribution †: Corresponding author.

2025

1. arXiv

   

   Look Shallow, Think Deep: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do

   Zhuoran Jin^*, Kejian Zhu^*, Hongbang Yuan, Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao

   arXiv preprint (arXiv), 2025

   Bib

   @article{DBLP:journals/corr/abs-2412-13746,
     author = {Jin, Zhuoran and Zhu, Kejian and Yuan, Hongbang and Hao, Yupu and Cao, Pengfei and Chen, Yubo and Liu, Kang and Zhao, Jun},
     title = {Look Shallow, Think Deep: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do},
     journal = {arXiv preprint},
     year = {2025},
   }

2. arXiv

   

   Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences

   Zhuoran Jin^*, Hongbang Yuan^*, Kejian Zhu^*, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao

   arXiv preprint (arXiv), 2025

   Bib Code

   @article{DBLP:journals/corr/abs-2412-13747,
     author = {Jin, Zhuoran and Yuan, Hongbang and Zhu, Kejian and Cao, Pengfei and Chen, Yubo and Liu, Kang and Zhao, Jun},
     title = {Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences},
     journal = {arXiv preprint},
     year = {2025},
   }

3. arXiv

   

   MMR-V: What’s Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos

   Kejian Zhu, Zhuoran Jin, Hongbang Yuan, Jiachun Li, Shangqing Tu, Pengfei Cao, Yubo Chen, Kang Liu, and Jun Zhao

   arXiv preprint (arXiv), 2025

   Bib Code

   @article{DBLP:journals/corr/abs-2412-13748,
     author = {Zhu, Kejian and Jin, Zhuoran and Yuan, Hongbang and Li, Jiachun and Tu, Shangqing and Cao, Pengfei and Chen, Yubo and Liu, Kang and Zhao, Jun},
     title = {MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos},
     journal = {arXiv preprint},
     year = {2025},
   }

4. arXiv

   

   RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality

   Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, and Yubo Chen

   arXiv preprint (arXiv), 2025

   Bib Code

   @article{DBLP:journals/corr/abs-2412-13749,
     author = {Zhang, Chenlong and Jin, Zhuoran and Yuan, Hongbang and Wei, Jiaheng and Zhou, Tong and Liu, Kang and Zhao, Jun and Chen, Yubo},
     title = {RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality},
     journal = {arXiv preprint},
     year = {2025},
   }

5. ACL

   Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents

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

   In Annual Meeting of the Association for Computational Linguistics (ACL) , 2025
6. ACL

   A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns

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

   In Annual Meeting of the Association for Computational Linguistics (ACL) , 2025

   arXiv
7. ACL

   Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity

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

   In Annual Meeting of the Association for Computational Linguistics (ACL) , 2025

   arXiv
8. ACL

   Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis

   Kejian Zhu, Shangqing Tu, Zhuoran Jin, Lei Hou, Juanzi Li, and Jun Zhao

   In Annual Meeting of the Association for Computational Linguistics (ACL) , 2025
9. ACL Findings

   

   RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment

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

   In Annual Meeting of the Association for Computational Linguistics (ACL Findings) , 2025

   arXiv Bib Code

   @inproceedings{DBLP:journals/corr/abs-2412-13754,
     author = {Jin, Zhuoran and Yuan, Hongbang and Men, Tianyi and Cao, Pengfei and Chen, Yubo and Liu, Kang and Zhao, Jun},
     title = {RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment},
     booktitle = {Annual Meeting of the Association for Computational Linguistics},
     publisher = {Association for Computational Linguistics},
     year = {2025},
   }

10. ICLR

    MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models

    Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, and Jun Zhao

    In International Conference on Learning Representations (ICLR) , 2025

    arXiv HTML
11. NAACL

    DTELS: Towards Dynamic Granularity of Timeline Summarization

    Chenlong Zhang, Tong Zhou, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, and Jun Zhao

    In Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) , 2025

    arXiv Bib HTML

    @inproceedings{DBLP:conf/naacl/ZhangZCJCLZ25,
      author = {Zhang, Chenlong and Zhou, Tong and Cao, Pengfei and Jin, Zhuoran and Chen, Yubo and Liu, Kang and Zhao, Jun},
      editor = {Chiruzzo, Luis and Ritter, Alan and Wang, Lu},
      title = {{DTELS:} Towards Dynamic Granularity of Timeline Summarization},
      booktitle = {Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics},
      pages = {2682--2703},
      publisher = {Association for Computational Linguistics},
      year = {2025},
    }

12. NAACL Findings

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

    Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, and Kang Liu

    In Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL Findings) , 2025

    arXiv Bib HTML

    @inproceedings{DBLP:conf/naacl/YuanCCJL25,
      author = {Yuan, Hongbang and Chen, Yubo and Cao, Pengfei and Jin, Zhuoran and Liu, Kang},
      editor = {Chiruzzo, Luis and Ritter, Alan and Wang, Lu},
      title = {Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models},
      booktitle = {Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics},
      year = {2025},
      pages = {6310--6323},
      publisher = {Association for Computational Linguistics},
    }

13. AAAI

    

    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, and Jun Zhao

    In Annual AAAI Conference on Artificial Intelligence (AAAI) , 2025

    arXiv Bib HTML Code

    @inproceedings{DBLP:conf/aaai/YuanJC0LZ25,
      author = {Yuan, Hongbang and Jin, Zhuoran and Cao, Pengfei and Chen, Yubo and Liu, Kang and Zhao, Jun},
      editor = {Walsh, Toby and Shah, Julie and Kolter, Zico},
      title = {Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models},
      booktitle = {Annual AAAI Conference on Artificial Intelligence},
      pages = {25769--25777},
      publisher = {{AAAI} Press},
      year = {2025},
    }

14. AAAI

    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, and Jun Zhao

    In Annual AAAI Conference on Artificial Intelligence (AAAI) , 2025

    arXiv Bib HTML

    @inproceedings{DBLP:conf/aaai/HaoCJL0LZ25,
      author = {Hao, Yupu and Cao, Pengfei and Jin, Zhuoran and Liao, Huanxuan and Chen, Yubo and Liu, Kang and Zhao, Jun},
      editor = {Walsh, Toby and Shah, Julie and Kolter, Zico},
      title = {{CITI:} Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance},
      booktitle = {Annual AAAI Conference on Artificial Intelligence},
      pages = {23996--24004},
      publisher = {{AAAI} Press},
      year = {2025},
    }

2024

1. NeurIPS

   

   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, and Jun Zhao

   In Annual Conference on Neural Information Processing Systems (NeurIPS) , 2024

   arXiv Bib HTML Code Website

   @inproceedings{DBLP:conf/nips/JinCWHYL00024,
     author = {Jin, Zhuoran and Cao, Pengfei and Wang, Chenhao and He, Zhitao and Yuan, Hongbang and Li, Jiachun and Chen, Yubo and Liu, Kang and Zhao, Jun},
     editor = {Globersons, Amir and Mackey, Lester and Belgrave, Danielle and Fan, Angela and Paquet, Ulrich and Tomczak, Jakub M. and Zhang, Cheng},
     title = {RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models},
     booktitle = {Annual Conference on Neural Information Processing Systems},
     year = {2024},
   }

2. EMNLP

   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, and Jun Zhao

   In Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2024

   arXiv Bib HTML

   @inproceedings{DBLP:conf/emnlp/YuanCJ0Z0024,
     author = {Yuan, Hongbang and Cao, Pengfei and Jin, Zhuoran and Chen, Yubo and Zeng, Daojian and Liu, Kang and Zhao, Jun},
     editor = {Al{-}Onaizan, Yaser and Bansal, Mohit and Chen, Yun{-}Nung},
     title = {Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models},
     booktitle = {Conference on Empirical Methods in Natural Language Processing},
     pages = {2670--2683},
     publisher = {Association for Computational Linguistics},
     year = {2024},
   }

3. EMNLP

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

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

   In Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2024

   arXiv Bib HTML

   @inproceedings{DBLP:conf/emnlp/MenCJ00024,
     author = {Men, Tianyi and Cao, Pengfei and Jin, Zhuoran and Chen, Yubo and Liu, Kang and Zhao, Jun},
     editor = {Al{-}Onaizan, Yaser and Bansal, Mohit and Chen, Yun{-}Nung},
     title = {Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models},
     booktitle = {Conference on Empirical Methods in Natural Language Processing},
     pages = {7713--7724},
     publisher = {Association for Computational Linguistics},
     year = {2024},
   }

4. EMNLP Findings

   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, and Jun Zhao

   In Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) , 2024

   arXiv Bib HTML

   @inproceedings{DBLP:conf/emnlp/LiCWJ00JX024,
     author = {Li, Jiachun and Cao, Pengfei and Wang, Chenhao and Jin, Zhuoran and Chen, Yubo and Liu, Kang and Jiang, Xiaojian and Xu, Jiexin and Zhao, Jun},
     editor = {Al{-}Onaizan, Yaser and Bansal, Mohit and Chen, Yun{-}Nung},
     title = {{LINKED:} Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning},
     booktitle = {Conference on Empirical Methods in Natural Language Processing},
     pages = {8886--8905},
     publisher = {Association for Computational Linguistics},
     year = {2024},
   }

5. EMNLP Findings

   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, and Jun Zhao

   In Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) , 2024

   Bib HTML

   @inproceedings{DBLP:conf/emnlp/HeCWJ0XL0024,
     author = {He, Zhitao and Cao, Pengfei and Wang, Chenhao and Jin, Zhuoran and Chen, Yubo and Xu, Jiexin and Li, Huaijun and Liu, Kang and Zhao, Jun},
     editor = {Al{-}Onaizan, Yaser and Bansal, Mohit and Chen, Yun{-}Nung},
     title = {AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation},
     booktitle = {Conference on Empirical Methods in Natural Language Processing},
     pages = {9399--9416},
     publisher = {Association for Computational Linguistics},
     year = {2024},
   }

6. ACL

   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, and Jun Zhao

   In Annual Meeting of the Association for Computational Linguistics (ACL) , 2024

   arXiv Bib HTML Code

   @inproceedings{DBLP:conf/acl/LiCWJ0Z0024,
     author = {Li, Jiachun and Cao, Pengfei and Wang, Chenhao and Jin, Zhuoran and Chen, Yubo and Zeng, Daojian and Liu, Kang and Zhao, Jun},
     editor = {Ku, Lun{-}Wei and Martins, Andre and Srikumar, Vivek},
     title = {Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems
                       in Commonsense Reasoning},
     booktitle = {Annual Meeting of the Association for Computational Linguistics},
     pages = {9206--9230},
     publisher = {Association for Computational Linguistics},
     year = {2024},
   }

7. ACL

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

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

   In Annual Meeting of the Association for Computational Linguistics (ACL) , 2024

   Bib HTML

   @inproceedings{DBLP:conf/acl/WangCJ0ZL024,
     author = {Wang, Chenhao and Cao, Pengfei and Jin, Zhuoran and Chen, Yubo and Zeng, Daojian and Liu, Kang and Zhao, Jun},
     editor = {Ku, Lun{-}Wei and Martins, Andre and Srikumar, Vivek},
     title = {{MULFE:} {A} Multi-Level Benchmark for Free Text Model Editing},
     booktitle = {Annual Meeting of the Association for Computational Linguistics},
     pages = {13570--13587},
     publisher = {Association for Computational Linguistics},
     year = {2024},
   }

8. ACL Findings

   

   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, and Jun Zhao

   In Annual Meeting of the Association for Computational Linguistics (ACL Findings) , 2024

   arXiv Bib HTML

   @inproceedings{DBLP:conf/acl/JinCY0XLJ0024,
     author = {Jin, Zhuoran and Cao, Pengfei and Yuan, Hongbang and Chen, Yubo and Xu, Jiexin and Li, Huaijun and Jiang, Xiaojian and Liu, Kang and Zhao, Jun},
     editor = {Ku, Lun{-}Wei and Martins, Andre and Srikumar, Vivek},
     title = {Cutting Off the Head Ends the Conflict: {A} Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models},
     booktitle = {Annual Meeting of the Association for Computational Linguistics},
     pages = {1193--1215},
     publisher = {Association for Computational Linguistics},
     year = {2024},
   }

9. COLING

   

   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, and Jun Zhao

   In International Conference on Computational Linguistics (COLING) , 2024

   arXiv Bib HTML

   @inproceedings{DBLP:conf/coling/JinC0LJXLZ24,
     author = {Jin, Zhuoran and Cao, Pengfei and Chen, Yubo and Liu, Kang and Jiang, Xiaojian and Xu, Jiexin and Li, Qiuxia and Zhao, Jun},
     editor = {Calzolari, Nicoletta and Kan, Min{-}Yen and Hoste, V{\'{e}}ronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},
     title = {Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models},
     booktitle = {International Conference on Computational Linguistics},
     pages = {16867--16878},
     year = {2024},
   }

10. COLING

    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, and Jun Zhao

    In International Conference on Computational Linguistics (COLING) , 2024

    Bib HTML

    @inproceedings{DBLP:conf/coling/HeCJ00ZS024,
      author = {He, Zhitao and Cao, Pengfei and Jin, Zhuoran and Chen, Yubo and Liu, Kang and Zhang, Zhiqiang and Sun, Mengshu and Zhao, Jun},
      editor = {Calzolari, Nicoletta and Kan, Min{-}Yen and Hoste, V{\'{e}}ronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen},
      title = {Zero-Shot Cross-Lingual Document-Level Event Causality Identification
                        with Heterogeneous Graph Contrastive Transfer Learning},
      booktitle = {International Conference on Computational Linguistics},
      pages = {17833--17850},
      publisher = {{ELRA} and {ICCL}},
      year = {2024},
    }

2023

1. EMNLP Findings

   

   InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models

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

   In Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) , 2023

   Bib HTML

   @inproceedings{DBLP:conf/emnlp/JinC0LZ23,
     author = {Jin, Zhuoran and Cao, Pengfei and Chen, Yubo and Liu, Kang and Zhao, Jun},
     editor = {Bouamor, Houda and Pino, Juan and Bali, Kalika},
     title = {InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models},
     booktitle = {Conference on Empirical Methods in Natural Language Processing},
     pages = {6649--6675},
     publisher = {Association for Computational Linguistics},
     year = {2023},
   }

2. EMNLP Findings

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

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

   In Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) , 2023

   Bib HTML

   @inproceedings{DBLP:conf/emnlp/JinCH00023,
     author = {Jin, Zhuoran and Cao, Pengfei and He, Zhitao and Chen, Yubo and Liu, Kang and Zhao, Jun},
     editor = {Bouamor, Houda and Pino, Juan and Bali, Kalika},
     title = {Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching},
     booktitle = {Conference on Empirical Methods in Natural Language Processing},
     pages = {14616--14637},
     publisher = {Association for Computational Linguistics},
     year = {2023},
   }

3. AAAI

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

   Pengfei Cao^*, Zhuoran Jin^*, Yubo Chen, Kang Liu, and Jun Zhao

   In Annual AAAI Conference on Artificial Intelligence (AAAI) , 2023

   Bib HTML

   @inproceedings{DBLP:conf/aaai/CaoJ00023,
     author = {Cao, Pengfei and Jin, Zhuoran and Chen, Yubo and Liu, Kang and Zhao, Jun},
     editor = {Williams, Brian and Chen, Yiling and Neville, Jennifer},
     title = {Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning},
     booktitle = {Annual AAAI Conference on Artificial Intelligence},
     pages = {12589--12597},
     publisher = {{AAAI} Press},
     year = {2023},
   }

2022

1. EMNLP

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

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

   In Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2022

   Bib HTML Code

   @inproceedings{DBLP:conf/emnlp/JinC00022,
     author = {Jin, Zhuoran and Cao, Pengfei and Chen, Yubo and Liu, Kang and Zhao, Jun},
     editor = {Goldberg, Yoav and Kozareva, Zornitsa and Zhang, Yue},
     title = {A Good Neighbor, {A} Found Treasure: Mining Treasured Neighbors for
                       Knowledge Graph Entity Typing},
     booktitle = {Conference on Empirical Methods in Natural Language Processing},
     pages = {480--490},
     publisher = {Association for Computational Linguistics},
     year = {2022},
   }

2. EMNLP Demo

   

   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, and Jun Zhao

   In Conference on Empirical Methods in Natural Language Processing (EMNLP Demo) , 2022

   Bib HTML Code

   @inproceedings{DBLP:conf/emnlp/JinMYZCCXLZ22,
     author = {Jin, Zhuoran and Men, Tianyi and Yuan, Hongbang and Zhou, Yuyang and Cao, Pengfei and Chen, Yubo and Xue, Zhipeng and Liu, Kang and Zhao, Jun},
     editor = {Che, Wanxiang and Shutova, Ekaterina},
     title = {CogKTR: {A} Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding},
     booktitle = {Conference on Empirical Methods in Natural Language Processing},
     pages = {1--11},
     publisher = {Association for Computational Linguistics},
     year = {2022},
   }

3. ACL Demo

   

   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, and Jun Zhao

   In Annual Meeting of the Association for Computational Linguistics (ACL Demo) , 2022

   Bib HTML Code

   @inproceedings{DBLP:conf/acl/JinMYHSWXCZ22,
     author = {Jin, Zhuoran and Men, Tianyi and Yuan, Hongbang and He, Zhitao and Sui, Dianbo and Wang, Chenhao and Xue, Zhipeng and Chen, Yubo and Zhao, Jun},
     editor = {Basile, Valerio and Kozareva, Zornitsa and Stajner, Sanja},
     title = {CogKGE: {A} Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge},
     booktitle = {Annual Meeting of the Association for Computational Linguistics},
     pages = {166--173},
     publisher = {Association for Computational Linguistics},
     year = {2022},
   }

2021

1. ACL Demo

   

   CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet

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

   In Annual Meeting of the Association for Computational Linguistics (ACL Demo) , 2021

   Bib HTML Code

   @inproceedings{DBLP:conf/acl/JinCSWXZ21,
     author = {Jin, Zhuoran and Chen, Yubo and Sui, Dianbo and Wang, Chenhao and Xue, Zhipeng and Zhao, Jun},
     editor = {Ji, Heng and Park, Jong C. and Xia, Rui},
     title = {CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet},
     booktitle = {Annual Meeting of the Association for Computational Linguistics},
     pages = {92--98},
     publisher = {Association for Computational Linguistics},
     year = {2021},
   }