12 citations · 21 across the 15 of their papers we have counts for
17 papers · 1 filter
Learning to Learn from Language Feedback with Social Meta-Learning
Jonathan Cook, Diego Antognini, Martin Klissarov +2
Large language models (LLMs) often struggle to learn from corrective feedback within a conversational context. They are rarely proactive in soliciting this feedback, even when face…
Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation
Giuseppe Russo, Nora Hollenstein, Claudiu Musat +1
We introduce CGA, a conditional VAE architecture, to control, generate, and augment text. CGA is able to generate natural English sentences controlling multiple semantic and syntac…
A Swiss German Dictionary: Variation in Speech and Writing
Larissa Schmidt, Lucy Linder, Sandra Djambazovska +3
We introduce a dictionary containing forms of common words in various Swiss German dialects normalized into High German. As Swiss German is, for now, a predominantly spoken languag…
Fast Cross-domain Data Augmentation through Neural Sentence Editing
Guillaume Raille, Sandra Djambazovska, Claudiu Musat
Data augmentation promises to alleviate data scarcity. This is most important in cases where the initial data is in short supply. This is, for existing methods, also where augmenti…
Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German
Lucy Linder, Michael Jungo, Jean Hennebert +2
This paper presents SwissCrawl, the largest Swiss German text corpus to date. Composed of more than half a million sentences, it was generated using a customized web scraping tool…
Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes
Noémien Kocher, Christian Scuito, Lorenzo Tarantino +3
In sequence modeling tasks the token order matters, but this information can be partially lost due to the discretization of the sequence into data points. In this paper, we study t…