12 citations · 15 across the 3 of their papers we have counts for
9 papers
Metaphor Understanding Challenge Dataset for LLMs
Xiaoyu Tong, Rochelle Choenni, Martha Lewis +1
Metaphors in natural language are a reflection of fundamental cognitive processes such as analogical reasoning and categorisation, and are deeply rooted in everyday communication.…
Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models
Martha Lewis, Melanie Mitchell
Large language models (LLMs) have performed well on several reasoning benchmarks, including ones that test analogical reasoning abilities. However, it has been debated whether they…
Grounded learning for compositional vector semantics
Martha Lewis
Categorical compositional distributional semantics is an approach to modelling language that combines the success of vector-based models of meaning with the compositional power of…
Compositional Fusion of Signals in Data Embedding
Zhijin Guo, Zhaozhen Xu, Martha Lewis +1
Embeddings in AI convert symbolic structures into fixed-dimensional vectors, effectively fusing multiple signals. However, the nature of this fusion in real-world data is often unc…
EXTRACT: Explainable Transparent Control of Bias in Embeddings
Zhijin Guo, Zhaozhen Xu, Martha Lewis +1
Knowledge Graphs are a widely used method to represent relations between entities in various AI applications, and Graph Embedding has rapidly become a standard technique to represe…
Proceedings Fifth International Conference on Applied Category Theory
Jade Master, Martha Lewis
The Fifth International Conference on Applied Category Theory took place at the University of Strathclyde in Glasgow, Scotland on 18-22 July 2022. This conference follows the previ…