Congratulations to our recent grads!
We are very exciting to congratulate Dr. Jessa Henderson and Dr. Farhana Faruqe on the successful defenses of their dissertations! Way to go!
Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought
arxiv.org Recent advancements in large-scale models, such as GPT-4, have showcased remarkable capabilities in addressing standard queries. However, when facing complex problems that require multi-step logical reasoning, their accuracy dramatically decreases. Current research has explored the realm of prompting engineering … Continued
When do humans offload an attentionally demanding task to an algorithm?
With the increased sophistication of AI technology, humans have the possibility to offload a variety of tasks to algorithms (e.g., to Siri or ChatGPT). Whether and to what extent people engage in such cognitive offloading depends on various factors. In … Continued
In-IDE Generation-based Information Support with a Large Language Model
Abstract: Understanding code is challenging, especially when working in new and complex development environments. Code comments and documentation can help, but are typically scarce or hard to navigate. Large language models (LLMs) are revolutionizing the process of writing code. Can … Continued
CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis
While AI-assisted individual qualitative analysis has been substantially studied, AI-assisted collaborative qualitative analysis (CQA)-a process that involves multiple researchers working together to interpret data-remains relatively unexplored. After identifying CQA practices and design opportunities through formative interviews, we designed and implemented … Continued
Predict-AI-bility of how humans balance self-interest with the interest of others
Generative artificial intelligence holds enormous potential to revolutionize decision-making processes, from everyday to high-stake scenarios. However, as many decisions carry social implications, for AI to be a reliable assistant for decision-making it is crucial that it is able to capture … Continued
“It Felt Like Having a Second Mind”: Investigating Human-AI Co-creativity in Prewriting with Large Language Models
Prewriting is the process of discovering and developing ideas before a first draft, which requires divergent thinking and often implies unstructured strategies such as diagramming, outlining, free-writing, etc. Although large language models (LLMs) have been demonstrated to be useful for … Continued
Value-based Fast and Slow AI Nudging
Nudging is a behavioral strategy aimed at influencing people’s thoughts and actions. Nudging techniques can be found in many situations in our daily lives, and these nudging techniques can targeted at human fast and unconscious thinking, e.g., by using images … Continued
Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
While Artificial Intelligence (AI) algorithms have achieved performance levels comparable to human experts on various predictive tasks, human experts can still access valuable contextual information not yet incorporated into AI predictions. Humans assisted by AI predictions could outperform both human-alone … Continued
Artificial Intelligence in Science: Challenges, Opportunities and the Future of Research (OECD report)
Artificial Intelligence in Science oecd-ilibrary.org Overview: The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the … Continued