Siddharth Suresh

Siddharth Suresh

PhD Student University of Wisconsin-Madison in Cognitive Science

Publications

Behavioral estimates of conceptual structure are robust across tasks in humans but not large language models

Published in Singapore, 2023

This paper is about estimating conceptual structure in humans and language models using different behavorial tasks. We find that human conceptual structure is coherent across all tasks suggesting that humans have a conceptual core. However, we find the opposite in LLMs. In other words, LLMs do not have a conceptual core and are very sensitive to the context. Moreover, we also find that there are certain ways of prompting LLMs that can make them more human-like.

Recommended citation: Ranganathan, V., Suresh, S., Mathur, Y., Subramanyam, N., & Barbosa, D. (2020, March). Grcluster: a score function to model hierarchy in knowledge graph embeddings. In Proceedings of the 35th Annual ACM Symposium on Applied Computing (pp. 964-971). http://siddsuresh97.github.io/files/emnlp2023.pdf

Visual ensemble representations in Deep Neural Networks trained for natural object recognition

Published in St. Pete Beach, FL, 2021

This project is about investigating the presence of ensemble representations like average size in Deep Neural Networks trained on the natural statistics of the work

Recommended citation: Suresh, S., & Ward, E. J. (2021). Visual ensemble representations in Deep Neural Networks trained for natural object recognition. Journal of Vision, 21(9), 2677-2677. https://jov.arvojournals.org/article.aspx?articleid=2777780

GrCluster: a score function to model hierarchy in knowledge graph embeddings

Published in Brno, Czech Republic, 2020

This paper is about a new score function for building embeddings that model hierarchical relationships in a knowledge graphs better

Recommended citation: Ranganathan, V., Suresh, S., Mathur, Y., Subramanyam, N., & Barbosa, D. (2020, March). Grcluster: a score function to model hierarchy in knowledge graph embeddings. In Proceedings of the 35th Annual ACM Symposium on Applied Computing (pp. 964-971). http://siddsuresh97.github.io/files/GrCluster.pdf