13 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 13 cited
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…
cs.SI2023★ 1 cited
Down the Rabbit Hole: Detecting Online Extremism, Radicalisation, and Politicised Hate Speech
Jarod Govers, Philip Feldman, Aaron Dant +1
Social media is a modern person's digital voice to project and engage with new ideas and mobilise communities $\unicode{x2013}$ a power shared with extremists. Given the societal r…
cs.HC2023
The Keyword Explorer Suite: A Toolkit for Understanding Online Populations
Philip Feldman, Shimei Pan, James R. Foulds
We have developed a set of Python applications that use large language models to identify and analyze data from social media platforms relevant to a population of interest. Our pip…