| 2025 | ACL | ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data. | Yu Zhang, Ruijie Yu, Jidong Tian, Feng Zhu, Jiapeng Liu, Xiaokang Yang, Yaohui Jin, Yanyan Xu |
| 2025 | ICASSP | Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models. | Haoran Liao, Jidong Tian, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin |
| 2025 | ICLR | KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics. | Jindou Chen, Jidong Tian, Liang Wu, ChenXinWei, Xiaokang Yang, Yaohui Jin, Yanyan Xu |
| 2024 | CogSci | Self-Hint Prompting Improves Zero-shot Reasoning in Large Language Models via Reflective Cycle. | Jindou Chen, Jidong Tian, Yaohui Jin |
| 2024 | ICASSP | Comparable Demonstrations Are Important In In-Context Learning: A Novel Perspective On Demonstration Selection. | Caoyun Fan, Jidong Tian, Yitian Li, Hao He, Yaohui Jin |
| 2023 | AAAI | Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation. | Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He, Yaohui Jin |
| 2023 | AAAI | Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry. | Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He, Yaohui Jin |
| 2023 | ACL | MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning. | Yitian Li, Jidong Tian, Caoyun Fan, Wenqing Chen, Hao He, Yaohui Jin |
| 2023 | EMNLP | Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task. | Chunhui Du, Jidong Tian, Haoran Liao, Jindou Chen, Hao He, Yaohui Jin |
| 2023 | EMNLP | Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding. | Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin |
| 2023 | ICASSP | Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough. | Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin |
| 2022 | AAAI | Weakly Supervised Neural Symbolic Learning for Cognitive Tasks. | Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin |
| 2022 | ACCV | MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning. | Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin |
| 2022 | COLING | To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning. | Yitian Li, Jidong Tian, Wenqing Chen, Caoyun Fan, Hao He, Yaohui Jin |
| 2021 | ACL | De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation. | Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin |
| 2021 | EMNLP | Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI. | Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin |
| 2021 | IJCAI | Dependent Multi-Task Learning with Causal Intervention for Image Captioning. | Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin |
| 2020 | COLING | A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation. | Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin |
| 2020 | EMNLP | Exploring Logically Dependent Multi-task Learning with Causal Inference. | Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin |
| 2019 | IJCAI | TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. | Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin |