2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Enhancing Reasoning with Collaboration and Memory
Julie Michelman, Nasrin Baratalipour, Matthew Abueg
We envision a continuous collaborative learning system where groups of LLM agents work together to solve reasoning problems, drawing on memory they collectively build to improve pe…
cs.AI2024
CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data
Zhao Cheng, Diane Wan, Matthew Abueg +6
Advances in generative AI point towards a new era of personalized applications that perform diverse tasks on behalf of users. While general AI assistants have yet to fully emerge,…
cs.LG2023★ 2 cited
Massively Scalable Inverse Reinforcement Learning in Google Maps
Matt Barnes, Matthew Abueg, Oliver F. Lange +5
Inverse reinforcement learning (IRL) offers a powerful and general framework for learning humans' latent preferences in route recommendation, yet no approach has successfully addre…