Jidong Tian

Orcid: 0000-0003-1936-4595

According to our database1, Jidong Tian authored at least 27 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization.
Expert Syst. Appl., March, 2024

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models.
CoRR, 2024

Logical Negation Augmenting and Debiasing for Prompt-based Methods.
CoRR, 2024

Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models.
CoRR, 2024

Free-view Rendering of Dynamic Human from Monocular Video Via Modeling Temporal Information Globally and Locally among Adjacent Frames.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Comparable Demonstrations Are Important In In-Context Learning: A Novel Perspective On Demonstration Selection.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Accurate use of label dependency in multi-label text classification through the lens of causality.
Appl. Intell., October, 2023

Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough.
Proceedings of the IEEE International Conference on Acoustics, 2023

Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation.
Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CALM: Commen-Sense Knowledge Augmentation for Document Image Understanding.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning.
Proceedings of the Computer Vision - ACCV 2022, 2022

Weakly Supervised Neural Symbolic Learning for Cognitive Tasks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Dependent Multi-Task Learning with Causal Intervention for Image Captioning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Exploring Logically Dependent Multi-task Learning with Causal Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
RAG: Facial Attribute Editing by Learning Residual Attributes.
IEEE Access, 2019

TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fusion of Global and Local Gaussian-Hermite Moments for Face Recognition.
Proceedings of the Image and Graphics Technologies and Applications, 2019

2018
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention.
CoRR, 2018


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