In this presentation, Rupak Kumar Das covers Language Models Are Few-Shot Learners, by Brown et al. The paper introduces GPT-3 and describes tests for the model’s performance using a few shot setting and a dataset. Both methods have advantages and disadvantages,...
In this presentation, Dr. Jonathan Dodge covers Neurosymbolic Learning with Formally Verified Exploration, by Anderson et al. The paper introduces the concept of formally verified exploration in neurosymbolic reinforcement learning. The main goal is to ensure a safe...
Jeff Schulman recently led an enlightening session in the Sequential Domain subgroup at PLAINTEXT, focusing on the paper “Designing Ecosystems of Intelligence from First Principles” by Karl J. Friston and colleagues. This paper delves into foundational...
Rupak Kumar Das recently presented a compelling video review of a noteworthy NLP paper, Evaluation of Fake News Detection with Knowledge-Enhanced Language Models (Whitehouse et al., 2022), at PLAINTEXT’s Natural Language Processing subgroup. His insightful...
Delve into the fascinating world of advanced AI and machine learning! In this video, Dr. Jonathan Dodge explores in the groundbreaking research behind AlphaZero, the successor to AlphaGo, the artificial intelligence program developed by Silver et al. that...
Mitchell Hoesing’s presentation, of “The Open Laboratory: Limits and Possibilities of Using Facebook, Twitter, and YouTube as a Research Data Source,” by Gigliato et al., provides an in-depth look at the potential of social media platforms as...
Dunni Adenuga recently gave a video presentation “Exercise of Human Agency Through Collective Efficacy” at the PLAINTEXT Lab. Inspired by Albert Bandura’s research, the presentation offered insights into the power of collective actions. Watch to...
Discover the enduring impact of Herbert Simon’s work through Dr. Jonathan Dodge’s review at the PLAINTEXT lab at Penn State. The session, focused on “Heuristics for Scientific Discovery: The Legacy of Herbert Simon” by Pat Langley, offered a...
Our lab practices paper reviews at regular intervals to better understand and share content. Last Friday, Shikha Soneji presented this paper from Tang et al. (2023): PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models. These sessions are a key...
The PSU Laboratory for AI that’s iNTerpretable, eXplainable, and Testable welcomes you! Our mission bridges research, implementation, and comprehension related to human interaction with Artificial Intelligence.
