3 papers
eess.SP2025
Improving Generative Inverse Design of Rectangular Patch Antennas with Test Time Optimization
Beck LaBash, Shahriar Khushrushahi, Fabian Ruehle
We propose a two-stage deep learning framework for the inverse design of rectangular patch antennas. Our approach leverages generative modeling to learn a latent representation of…
cs.CL2024
RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale
Beck LaBash, August Rosedale, Alex Reents +2
The instruction-following ability of Large Language Models (LLMs) has cultivated a class of LLM-based systems capable of approaching complex tasks such as making edits to large cod…
cs.AI2023
Reflexion: Language Agents with Verbal Reinforcement Learning
Noah Shinn, Federico Cassano, Edward Berman +3
Large language models (LLMs) have been increasingly used to interact with external environments (e.g., games, compilers, APIs) as goal-driven agents. However, it remains challengin…