2 citations · 3 across the 4 of their papers we have counts for
4 papers
ReadMe.LLM: A Framework to Help LLMs Understand Your Library
Sandya Wijaya, Jacob Bolano, Alejandro Gomez Soteres +3
Large Language Models (LLMs) often struggle with code generation tasks involving niche software libraries. Existing code generation techniques with only human-oriented documentatio…
Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning Tasks
Ryan Campbell, Nelson Lojo, Kesava Viswanadha +5
In-Context Learning (ICL) is a phenomenon where task learning occurs through a prompt sequence without the necessity of parameter updates. ICL in Multi-Headed Attention (MHA) with…
Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and Alignment
Max Wilcoxson, Morten Svendgård, Ria Doshi +3
Simple function classes have emerged as toy problems to better understand in-context-learning in transformer-based architectures used for large language models. But previously prop…
Stabilization using both noisy and noiseless feedback
Anant Sahai
When designing a distributed control system, the system designer has a choice in how to connect the different units through communication channels. In practice, noiseless and noisy…