Posted January 31, 2025
Abraham Sanders leads us in a discussion of "Training Large Language Models to Reason in a Continuous Latent Space" (Shibo Hao, et.al.). This is the first of our TWed Paper Discussion series.
WHAT: TWed Paper Talk: Abraham Sanders on "Training Large Language Models to Reason in a Continuous Latent Space"
WHEN: 4p, Weds, 5 Feb 2025 (pizza et.al. 3:30p)
WHERE: Winslow 1140
EVENT PAGE: https://rb.gy/eb9aa3
Abraham Sanders leads us in a discussion of "Training Large Language Models to Reason in a Continuous Latent Space" (Shibo Hao, et.al.). This is the first of our TWed Paper Discussion series.
TWed Paper Discussions do not require pre-reading the papers being discussed, but feel free to read them over ahead of time; Wednesday's paper may be found at: https://arxiv.org/abs/2412.06769
Pizzas and salads will be delivered at approx. 3:30p; the talk will begin at 4p.
Abraham Sanders is a Cognitive Science PhD candidate in the LACAI lab at RPI, working with Dr. Tomek Strzalkowski. His research interests lie in conversational AI – particularly in the areas of full-duplex spoken dialogue systems, dialogue representation and understanding, and response evaluation in both open-domain and goal-oriented settings. Previously, Abraham completed his B.S. in Mathematics from Rensselaer Polytechnic Institute and spent ten years working as a software engineer in the healthcare industry.