Survey of hallucination in natural language generation
Natural Language Generation (NLG) has improved exponentially in recent years thanks to
the development of sequence-to-sequence deep learning technologies such as Transformer …
the development of sequence-to-sequence deep learning technologies such as Transformer …
Pre-trained language models for text generation: A survey
Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
Chart-to-text: A large-scale benchmark for chart summarization
Charts are commonly used for exploring data and communicating insights. Generating
natural language summaries from charts can be very helpful for people in inferring key …
natural language summaries from charts can be very helpful for people in inferring key …
Dart: Open-domain structured data record to text generation
We present DART, an open domain structured DAta Record to Text generation dataset with
over 82k instances (DARTs). Data-to-Text annotations can be a costly process, especially …
over 82k instances (DARTs). Data-to-Text annotations can be a costly process, especially …
Transformers for tabular data representation: A survey of models and applications
In the last few years, the natural language processing community has witnessed advances
in neural representations of free texts with transformer-based language models (LMs). Given …
in neural representations of free texts with transformer-based language models (LMs). Given …
Table pre-training: A survey on model architectures, pre-training objectives, and downstream tasks
Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs,
and various other document types, a flurry of table pre-training frameworks have been …
and various other document types, a flurry of table pre-training frameworks have been …
Hitab: A hierarchical table dataset for question answering and natural language generation
Tables are often created with hierarchies, but existing works on table reasoning mainly focus
on flat tables and neglect hierarchical tables. Hierarchical tables challenge existing methods …
on flat tables and neglect hierarchical tables. Hierarchical tables challenge existing methods …
Opencqa: Open-ended question answering with charts
S Kantharaj, XL Do, RTK Leong, JQ Tan… - arXiv preprint arXiv …, 2022 - arxiv.org
Charts are very popular to analyze data and convey important insights. People often analyze
visualizations to answer open-ended questions that require explanatory answers …
visualizations to answer open-ended questions that require explanatory answers …
Logic-consistency text generation from semantic parses
Text generation from semantic parses is to generate textual descriptions for formal
representation inputs such as logic forms and SQL queries. This is challenging due to two …
representation inputs such as logic forms and SQL queries. This is challenging due to two …
Effective distillation of table-based reasoning ability from llms
Large Language Models (LLMs) have demonstrated remarkable performance across a wide
range of natural language processing tasks. However, their remarkable parameter size and …
range of natural language processing tasks. However, their remarkable parameter size and …