natural-language-processing-2
Controllable Language Modelling
3260 papers • 126 benchmarks • 313 datasets
Given unsupervised Language Modeling as pretraining task, the objective is to generate texts under particular control attributes (Topic, Sentiment)
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in controllable-language-modelling-2
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find controllable-language-modelling-2 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
Most implemented papers
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
Mykola Pechenizkiy, V. Menkovski, Iftitahu Ni'mah, Meng Fang•Sun May 14 2023
It is shown that automatic metrics provide a better guidance than human on discriminating system-level performance in Text Summarization and Controlled Generation tasks, and that multi-aspect human-aligned metric (UniEval) is not necessarily dominant over single-aspects human- aligned metrics (CTC, CtrlEval), and task-agnostic metrics (BLEU, BERTScore), particularly in Controlled generation tasks.