5 papers
Embeddings of Nation-Level Social Networks
Tanzir Pial, Flavio Hafner, Dakota Handzlik +6
Full nation-scale social networks are now emerging from countries such as the Netherlands and Denmark, but these networks present challenging technical issues in working with large…
Gatsby Without the 'E': Crafting Lipograms with LLMs
Rohan Balasubramanian, Nitish Gokulakrishnan, Syeda Jannatus Saba +1
Lipograms are a unique form of constrained writing where all occurrences of a particular letter are excluded from the text, typified by the novel Gadsby, which daringly avoids all…
Evaluating Language Translation Models by Playing Telephone
Syeda Jannatus Saba, Steven Skiena
Our ability to efficiently and accurately evaluate the quality of machine translation systems has been outrun by the effectiveness of current language models--which limits the pote…
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs
Xingzhi Guo, Silong Wang, Baojian Zhou +2
Real-world graphs grow rapidly with edge and vertex insertions over time, motivating the problem of efficiently maintaining robust node representation over evolving graphs. Recent…
The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data Analysis
OndÅej Draganov, Steven Skiena
Word embeddings represent language vocabularies as clouds of -dimensional points. We investigate how information is conveyed by the general shape of these clouds, instead of rep…