# Long Text Generation via Adversarial Training with Leaked Information

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/long-text-generation-via-adversarial-training-with-leaked-information/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jiaxian Guo,Sidi Lu,Han Cai,Weinan Zhang,Yong Yu,Jun Wang |
| Citations | 427 |
| DOI | 10.1609/aaai.v32i1.11957 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ojs.aaai.org/index.php/AAAI/article/download/11957/11816 |
| OpenAlex ID | https://openalex.org/W2963248348 |
| Type | conference-paper |
| Year | 2018 |

## Paper authors

- [Jun Wang](https://scholariq.org/researchers/jun-wang-2/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Multimodal Machine Learning Applications](https://scholariq.org/topics/multimodal-machine-learning-applications/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.