4 citations · 6 across the 4 of their papers we have counts for
4 papers
Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models
Rock Yuren Pang, K. J. Kevin Feng, Shangbin Feng +5
The output quality of large language models (LLMs) can be improved via "reasoning": generating segments of chain-of-thought (CoT) content to further condition the model prior to pr…
Biased AI can Influence Political Decision-Making
Jillian Fisher, Shangbin Feng, Robert Aron +6
As modern large language models (LLMs) become integral to everyday tasks, concerns about their inherent biases and their potential impact on human decision-making have emerged. Whi…
Imagine a dragon made of seaweed: How images enhance learning in Wikipedia
Anita Silva, Maria Tracy, Katharina Reinecke +2
Though images are ubiquitous across Wikipedia, it is not obvious that the image choices optimally support learning. When well selected, images can enhance learning by dual coding,…
Culturally-Attuned Moral Machines: Implicit Learning of Human Value Systems by AI through Inverse Reinforcement Learning
Nigini Oliveira, Jasmine Li, Koosha Khalvati +4
Constructing a universal moral code for artificial intelligence (AI) is difficult or even impossible, given that different human cultures have different definitions of morality and…