Jidong Tian

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Language Understanding

Logical Reasoning

Weakly Supervised

Top Venues

Publications

Caoyun Fan, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Comparable Demonstrations Are Important In In-Context Learning: A Novel Perspective On Demonstration Selection. ICASSP (2024)
Yitian Li, Jidong Tian, Hao He, Yaohui Jin
Logical Negation Augmenting and Debiasing for Prompt-based Methods. CoRR (2024)
Yitian Li, Jidong Tian, Hao He, Yaohui Jin
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models. CoRR (2024)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization. Expert Syst. Appl. 238 (Part C) (2024)
Haoran Liao, Jidong Tian, Shaohua Hu, Hao He, Yaohui Jin
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models. CoRR (2024)
Jidong Tian, Wenqing Chen, Yitian Li, Caoyun Fan, Hao He, Yaohui Jin
Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry. AAAI (2023)
Chunhui Du, Jidong Tian, Haoran Liao, Jindou Chen, Hao He, Yaohui Jin
Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task. EMNLP (2023)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality. CoRR (2023)
Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding. CoRR (2023)
Caoyun Fan, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Comparable Demonstrations are Important in In-Context Learning: A Novel Perspective on Demonstration Selection. CoRR (2023)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Accurate use of label dependency in multi-label text classification through the lens of causality. Appl. Intell. 53 (19) (2023)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough. ICASSP (2023)
Yizhou Ding, Jidong Tian, Shanxing Mei, Yifan Zhou, Yuwu Dong, Hao He, Weisheng Hu
LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation. CSAI (2023)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough. CoRR (2023)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning. CoRR (2023)
Wenqing Chen, Jidong Tian, Caoyun Fan, Yitian Li, Hao He, Yaohui Jin
Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation. AAAI (2023)
Yitian Li, Jidong Tian, Caoyun Fan, Wenqing Chen, Hao He, Yaohui Jin
MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning. ACL (Findings) (2023)
Caoyun Fan, Jidong Tian, Yitian Li, Wenqing Chen, Hao He, Yaohui Jin
Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding. EMNLP (2023)
Haoran Liao, Qinyi Du, Shaohua Hu, Hao He, Yanyan Xu, Jidong Tian, Yaohui Jin
Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent. CoRR (2023)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization. CoRR (2023)
Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin
Weakly Supervised Neural Symbolic Learning for Cognitive Tasks. AAAI (2022)
Yitian Li, Jidong Tian, Wenqing Chen, Caoyun Fan, Hao He, Yaohui Jin
To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning. COLING (2022)
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning. ACCV (1) (2022)
Qinyi Du, Qingqing Wang, Keqian Li, Jidong Tian, Liqiang Xiao, Yaohui Jin
CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding. ACM Multimedia (2022)
Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin
Dependent Multi-Task Learning with Causal Intervention for Image Captioning. IJCAI (2021)
Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, Yaohui Jin
Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI. EMNLP (1) (2021)
Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin
Dependent Multi-Task Learning with Causal Intervention for Image Captioning. CoRR (2021)
Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation. ACL/IJCNLP (1) (2021)
Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin
Exploring Logically Dependent Multi-task Learning with Causal Inference. EMNLP (1) (2020)
Wenqing Chen, Jidong Tian, Liqiang Xiao, Hao He, Yaohui Jin
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation. COLING (2020)
Honglun Zhang, Wenqing Chen, Jidong Tian, Hao He, Yaohui Jin
RAG: Facial Attribute Editing by Learning Residual Attributes. IEEE Access 7 (2019)
Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. IJCAI (2019)
Guojie Song, Dan He, Puchun Chen, Jidong Tian, Bin Zhou, Li Luo
Fusion of Global and Local Gaussian-Hermite Moments for Face Recognition. IGTA (2019)
Honglun Zhang, Wenqing Chen, Jidong Tian, Yongkun Wang, Yaohui Jin
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention. CoRR (2018)