7 citations · 8 across the 4 of their papers we have counts for
4 papers
Beyond Majority Vote: Multi-Perspective Adjudication for Medical Hallucination Detection
Joe Cecil, Marjorie Freedman
Understanding the frequency of factual errors in chatbot-generated text and evaluating systems that detect these errors is critical for determining chatbot safety. Yet factual-erro…
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA
Manuel R. Ciosici, Joe Cecil, Alex Hedges +3
Our goal is to deliver a new task and leaderboard to stimulate research on question answering and pre-trained language models (PTLMs) to understand a significant instructional docu…
A Grounded Approach to Modeling Generic Knowledge Acquisition
Deniz Beser, Joe Cecil, Marjorie Freedman +4
We introduce and implement a cognitively plausible model for learning from generic language, statements that express generalizations about members of a category and are an importan…
ADAM: A Sandbox for Implementing Language Learning
Ryan Gabbard, Deniz Beser, Jacob Lichtefeld +5
We present ADAM, a software system for designing and running child language learning experiments in Python. The system uses a virtual world to simulate a grounded language acquisit…