3 citations · 3 across the 3 of their papers we have counts for
3 papers
KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis
Reilly Haskins, Benjamin Adams
Large Language Models (LLMs) frequently generate hallucinations: statements that are syntactically plausible but lack factual grounding. This research presents KEA (Kernel-Enriched…
Pre-Trained Language Models Represent Some Geographic Populations Better Than Others
Jonathan Dunn, Benjamin Adams, Harish Tayyar Madabushi
This paper measures the skew in how well two families of LLMs represent diverse geographic populations. A spatial probing task is used with geo-referenced corpora to measure the de…
cantnlp@LT-EDI-2023: Homophobia/Transphobia Detection in Social Media Comments using Spatio-Temporally Retrained Language Models
Sidney G. -J. Wong, Matthew Durward, Benjamin Adams +1
This paper describes our multiclass classification system developed as part of the LTEDI@RANLP-2023 shared task. We used a BERT-based language model to detect homophobic and transp…