| 2026 | ACL | Figure It Out: Improve the Frontier of Reasoning with Executable Visual States. | Meiqi Chen, Fandong Meng, Jie Zhou |
| 2024 | ACL | Improving Large Language Models in Event Relation Logical Prediction. | Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li |
| 2024 | EMNLP | Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective. | Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu |
| 2024 | EMNLP | CELLO: Causal Evaluation of Large Vision-Language Models. | Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu |
| 2024 | EMNLP | Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation. | Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars |
| 2023 | ACL | CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification. | Meiqi Chen, Yixin Cao, Yan Zhang, Zhiwei Liu |
| 2023 | ICASSP | Hierarchical Hypergraph Recurrent Attention Network for Temporal Knowledge Graph Reasoning. | Jiayan Guo, Meiqi Chen, Yan Zhang, Jianqiang Huang, Zhiwei Liu |
| 2022 | ACL | Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. | Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao |
| 2022 | ACL | MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. | Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao |
| 2022 | COLING | ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. | Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang |