19 citations · 43 across the 14 of their papers we have counts for
4 papers · 1 filter
Trapping LLM Hallucinations Using Tagged Context Prompts
Philip Feldman, James R. Foulds, Shimei Pan
Recent advances in large language models (LLMs), such as ChatGPT, have led to highly sophisticated conversation agents. However, these models suffer from "hallucinations," where th…
Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models
Philip Feldman, Aaron Dant, James R. Foulds +1
Text analysis of social media for sentiment, topic analysis, and other analysis depends initially on the selection of keywords and phrases that will be used to create the research…
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
Philip Feldman, Aaron Dant, David Rosenbluth
The problem of determining if a military unit has correctly understood an order and is properly executing on it is one that has bedeviled military planners throughout history. The…
Analyzing COVID-19 Tweets with Transformer-based Language Models
Philip Feldman, Sim Tiwari, Charissa S. L. Cheah +2
This paper describes a method for using Transformer-based Language Models (TLMs) to understand public opinion from social media posts. In this approach, we train a set of GPT model…