4 citations · 5 across the 3 of their papers we have counts for
3 papers
Revisiting In-Context Learning with Long Context Language Models
Jinheon Baek, Sun Jae Lee, Prakhar Gupta +3
In-Context Learning (ICL) is a technique by which language models make predictions based on examples provided in their input context. Previously, their context window size imposed…
LearnLM: Improving Gemini for Learning
LearnLM Team, Abhinit Modi, Aditya Srikanth Veerubhotla +43
Today's generative AI systems are tuned to present information by default, rather than engage users in service of learning as a human tutor would. To address the wide range of pote…
Overcoming Conflicting Data when Updating a Neural Semantic Parser
David Gaddy, Alex Kouzemtchenko, Pavankumar Reddy Muddireddy +2
In this paper, we explore how to use a small amount of new data to update a task-oriented semantic parsing model when the desired output for some examples has changed. When making…