15 citations · 32 across the 4 of their papers we have counts for
5 papers
Knowing When to Ask -- Bridging Large Language Models and Data
Prashanth Radhakrishnan, Jennifer Chen, Bo Xu +5
Large Language Models (LLMs) are prone to generating factually incorrect information when responding to queries that involve numerical and statistical data or other timely facts. I…
Data Commons
Ramanathan V. Guha, Prashanth Radhakrishnan, Bo Xu +10
Publicly available data from open sources (e.g., United States Census Bureau (Census), World Health Organization (WHO), Intergovernmental Panel on Climate Change (IPCC)) are vital…
Playing catch-up in building an open research commons
Philip E. Bourne, Vivien Bonazzi, Amy Brand +12
On August 2, 2021 a group of concerned scientists and US funding agency and federal government officials met for an informal discussion to explore the value and need for a well-coo…
Towards a Model Theory for Distributed Representations
Ramanathan Guha
Distributed representations (such as those based on embeddings) and discrete representations (such as those based on logic) have complementary strengths. We explore one possible ap…
Communicating and resolving entity references
R. V. Guha
Statements about entities occur everywhere, from newspapers and web pages to structured databases. Correlating references to entities across systems that use different identifiers…