Kelsey Sikes

I just got back from AAAI in Singapore and it did not disappoint 😉. On the academic side, I had the chance to present both of our accepted papers. Presenting our GSD paper was especially meaningful as it’s one of my favorite projects I’ve worked on in grad school, and my first main conference paper Continue reading

Super excited to share that our paper “Reducing Goal State Divergence with Environment Design” has been accepted as a main conference paper at AAAI this year, along with “QueryGym: Step-by-Step Interaction with Relational Databases”, a demo paper I contributed to during my time at IBM. Adding to the excitement is the fact that the conference Continue reading

Spending my summer at IBM Research in Yorktown Heights was an incredible experience. It really pushed me as a researcher and is one of those places where you instantly feel the weight of history (After all, Watson, the AI system that famously won Jeopardy! was created here), and quickly see just how far IBM’s reach Continue reading

We’re excited to share that our paper, “On the Role of Domain Experts in Creating Effective Tutoring Systems,” has been accepted into the International Conference on Artificial Intelligence in Education for publication! This paper provides an overview of our ongoing work on intelligent tutoring systems, highlighting how collaboration with domain experts (in our case, entomologists Continue reading

I’m excited to share that today I successfully defended my master’s thesis, Reducing Goal State Divergence with Environment Design!! This milestone feels especially significant because looking back I can’t help but think of everything it took to get here and how much I’ve grown since being in grad school. Thank you to everyone who helped Continue reading

It was great to be back at AAAI this year, especially with the conference being held in Philadelphia, PA. While there, I had the chance to present our workshop paper, Creating PDDL Models from JavaScript Using LLMs: Preliminary Results, reconnect with a bunch of people from the NRL and broader research community as a whole, Continue reading

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