Kelsey Sikes

Exciting news—my workshop paper, “Creating PDDL Models from JavaScript Using LLMs: Preliminary Results,” has been accepted into AAAI 2025! This work stems from research I did during my time at the Naval Research Lab this past summer. I’m thrilled to be heading to Philadelphia to present it and while there to track down a Philly… Continue reading

BIG NEWS – I’ve been selected to intern this summer at the IBM Watson Research Center in Yorktown Heights, NY! I am ecstatic for this opportunity and can’t wait to spend the summer pushing the boundaries of what’s possible in AI. Stay tuned for more updates on my journey at IBM—this summer’s going to be… Continue reading

Just wrapped up an incredible summer at the Naval Research Lab, and wow—what an experience! I had the chance to work with some truly talented people, while also getting exposure to how the Navy works and all kinds of research. My project was a fun and challenging mix of planning and large language models (LLMs),… Continue reading

I’ve just returned from an exhilarating two weeks at the International Conference on Automated Planning and Scheduling (ICAPS) in Banff, Canada, and what an adventure it was! My journey began at the ICAPS Summer School, where I joined 39 other participants from across the globe. The week-long program treated us to eight invited talks, covering… Continue reading

I’m thrilled to share some exciting news — I’ve been selected to intern this summer at the renowned Naval Research Laboratory (NRL) in Washington DC, as part of their Naval Research Enterprise Internship Program (NREIP)! While there, I will have the opportunity to work on AI planning problems related to Large Language Models (LLMs) alongside… Continue reading

I’m thrilled to announce that the International Conference on Automated Planning and Scheduling (ICAPS) has accepted not one, but two of my workshop papers for presentation at their conference in June…marking an exciting chapter in my academic journey! The first paper, Reducing Human-Robot Goal State Divergence with Environment Design, will be presented as part of… Continue reading

In February 2024, I attended my first-ever Association for the Advancement of Artificial Intelligence (AAAI) conference in Vancouver, Canada. It was an eye-opening experience, with sessions covering the latest advancements in AI and its applications. While there, I had the chance to connect with fellow researchers, learning about their work, which covered anything from detecting… Continue reading

Starting 2024 off on a positive note! Our paper, When Text and Speech are Not Enough: A Multimodal Dataset of Collaboration in a Situated Task, has been accepted into the Journal of Open Humanities Data. This paper explores the nuances of human interactions, emphasizing the limitations of relying solely on speech or text. It introduces… Continue reading

Super excited to announce Exploring fMRI RDMs: enhancing model robustness through neurobiological data has been published in the journal, Frontiers in Computer Science. In the paper we preprocess the BOLD5000 (a large functional magnetic resonance imaging (fMRI) dataset) into representational dissimilarity matrices (RDMs), and establish an infrastructure researchers from a variety of backgrounds can use… Continue reading